From 35a784dba39f15ea0715ae38eaadf359fc80005c Mon Sep 17 00:00:00 2001 From: wilsonfreitas Date: Sat, 28 Mar 2026 13:12:35 +0000 Subject: [PATCH] deploy: a508cf0a83358c850c219cb56e1ef11b4001ee5d --- index.html | 643 ++++++++++++++++++++++++++------------------------- projects.csv | 11 +- 2 files changed, 340 insertions(+), 314 deletions(-) diff --git a/index.html b/index.html index 901cb9f..5b6fd6d 100644 --- a/index.html +++ b/index.html @@ -31,7 +31,7 @@

A curated list of insanely awesome libraries, packages and resources for Quants.

Maintained by Wilson Freitas

- 500 projects + 501 projects 18 languages
@@ -148,13 +148,13 @@ - + 4 polars Numerical Libraries & Data Structures - 37.9k + 37.9k 2026-03-27 @@ -2460,13 +2460,13 @@ - + 93 Qlib Trading & Backtesting - 39.4k + 39.4k 2026-03-10 @@ -2538,13 +2538,13 @@ - + 96 jesse Trading & Backtesting - 7.6k + 7.6k 2026-03-28 @@ -3136,13 +3136,13 @@ - + 119 vnpy Trading & Backtesting - 38.5k + 38.5k 2026-01-14 @@ -5318,8 +5318,33 @@ - + 203 + + edinetdb + Data Sources + + + + + + + + › + + + +
+

Free API and MCP server for Japanese company financials. Normalizes EDINET XBRL across JP-GAAP, IFRS, and US-GAAP for 3,800+ listed companies with 90 metrics, screening, and securities report text.

+
+ https://edinetdb.com/ + +
+
+ + + + 204 edinet-mcp Data Sources @@ -5345,7 +5370,7 @@ - 204 + 205 estat-mcp Data Sources @@ -5371,7 +5396,7 @@ - 205 + 206 tdnet-disclosure-mcp Data Sources @@ -5397,7 +5422,7 @@ - 206 + 207 cn_stock_src Data Sources @@ -5423,7 +5448,7 @@ - 207 + 208 coinmarketcap Data Sources @@ -5449,7 +5474,7 @@ - 208 + 209 coinpulse Data Sources @@ -5475,7 +5500,7 @@ - 209 + 210 after-hours Data Sources @@ -5501,7 +5526,7 @@ - 210 + 211 bronto-python Data Sources @@ -5528,7 +5553,7 @@ - 211 + 212 pytdx Data Sources @@ -5554,7 +5579,7 @@ - 212 + 213 pdblp Data Sources @@ -5580,7 +5605,7 @@ - 213 + 214 tiingo Data Sources @@ -5606,7 +5631,7 @@ - 214 + 215 iexfinance Data Sources @@ -5632,7 +5657,7 @@ - 215 + 216 pyEX Data Sources @@ -5658,7 +5683,7 @@ - 216 + 217 alpaca-trade-api Data Sources @@ -5684,7 +5709,7 @@ - 217 + 218 metatrader5 Data Sources @@ -5710,7 +5735,7 @@ - 218 + 219 akshare Data Sources @@ -5736,7 +5761,7 @@ - 219 + 220 yahooquery Data Sources @@ -5762,7 +5787,7 @@ - 220 + 221 investpy Data Sources @@ -5788,7 +5813,7 @@ - 221 + 222 yliveticker Data Sources @@ -5814,7 +5839,7 @@ - 222 + 223 bbgbridge Data Sources @@ -5840,7 +5865,7 @@ - 223 + 224 polygon.io Data Sources @@ -5866,7 +5891,7 @@ - 224 + 225 alpha_vantage Data Sources @@ -5892,7 +5917,7 @@ - 225 + 226 oilpriceapi Data Sources @@ -5918,7 +5943,7 @@ - 226 + 227 FinanceDataReader Data Sources @@ -5944,7 +5969,7 @@ - 227 + 228 pystlouisfed Data Sources @@ -5970,7 +5995,7 @@ - 228 + 229 python-bcb Data Sources @@ -5996,7 +6021,7 @@ - 229 + 230 swiss-finance-data Data Sources @@ -6022,7 +6047,7 @@ - 230 + 231 market-prices Data Sources @@ -6048,7 +6073,7 @@ - 231 + 232 tardis-python Data Sources @@ -6074,7 +6099,7 @@ - 232 + 233 lake-api Data Sources @@ -6100,7 +6125,7 @@ - 233 + 234 tessa Data Sources @@ -6126,7 +6151,7 @@ - 234 + 235 pandaSDMX Data Sources @@ -6152,7 +6177,7 @@ - 235 + 236 cif Data Sources @@ -6178,7 +6203,7 @@ - 236 + 237 finagg Data Sources @@ -6204,7 +6229,7 @@ - 237 + 238 FinanceDatabase Data Sources @@ -6230,7 +6255,7 @@ - 238 + 239 Trading Strategy Data Sources @@ -6256,7 +6281,7 @@ - 239 + 240 datamule-python Data Sources @@ -6282,7 +6307,7 @@ - 240 + 241 fsynth Data Sources @@ -6308,7 +6333,7 @@ - 241 + 242 fedfred Data Sources @@ -6333,7 +6358,7 @@ - 242 + 243 edgar-sec Data Sources @@ -6358,7 +6383,7 @@ - 243 + 244 edgartools Data Sources @@ -6384,7 +6409,7 @@ - 244 + 245 FXMacroData Data Sources @@ -6410,7 +6435,7 @@ - 245 + 246 wallstreet Data Sources @@ -6436,7 +6461,7 @@ - 246 + 247 xlwings Excel Integration @@ -6462,7 +6487,7 @@ - 247 + 248 openpyxl Excel Integration @@ -6487,7 +6512,7 @@ - 248 + 249 xlrd Excel Integration @@ -6513,7 +6538,7 @@ - 249 + 250 xlsxwriter Excel Integration @@ -6539,7 +6564,7 @@ - 250 + 251 xlwt Excel Integration @@ -6565,7 +6590,7 @@ - 251 + 252 xlloop Excel Integration @@ -6591,7 +6616,7 @@ - 252 + 253 expy Excel Integration @@ -6616,7 +6641,7 @@ - 253 + 254 pyxll Excel Integration @@ -6641,7 +6666,7 @@ - 254 + 255 D-Tale Visualization @@ -6667,7 +6692,7 @@ - 255 + 256 mplfinance Visualization @@ -6693,7 +6718,7 @@ - 256 + 257 finplot Visualization @@ -6719,7 +6744,7 @@ - 257 + 258 finvizfinance Visualization @@ -6745,7 +6770,7 @@ - 258 + 259 market-analy Visualization @@ -6771,7 +6796,7 @@ - 259 + 260 QuantInvestStrats Visualization @@ -6797,7 +6822,7 @@ - 260 + 261 xts Numerical Libraries & Data Structures @@ -6823,7 +6848,7 @@ - 261 + 262 data.table Numerical Libraries & Data Structures @@ -6849,7 +6874,7 @@ - 262 + 263 sparseEigen Numerical Libraries & Data Structures @@ -6875,7 +6900,7 @@ - 263 + 264 TSdbi Numerical Libraries & Data Structures @@ -6900,7 +6925,7 @@ - 264 + 265 tseries Numerical Libraries & Data Structures @@ -6926,7 +6951,7 @@ - 265 + 266 zoo Numerical Libraries & Data Structures @@ -6952,7 +6977,7 @@ - 266 + 267 tis Numerical Libraries & Data Structures @@ -6978,7 +7003,7 @@ - 267 + 268 tfplot Numerical Libraries & Data Structures @@ -7004,7 +7029,7 @@ - 268 + 269 tframe Numerical Libraries & Data Structures @@ -7030,7 +7055,7 @@ - 269 + 270 IBrokers Data Sources @@ -7056,7 +7081,7 @@ - 270 + 271 Rblpapi Data Sources @@ -7082,7 +7107,7 @@ - 271 + 272 Rbitcoin Data Sources @@ -7108,7 +7133,7 @@ - 272 + 273 GetTDData Data Sources @@ -7134,7 +7159,7 @@ - 273 + 274 GetHFData Data Sources @@ -7160,7 +7185,7 @@ - 274 + 275 td Data Sources @@ -7186,7 +7211,7 @@ - 275 + 276 rbcb Data Sources @@ -7212,7 +7237,7 @@ - 276 + 277 rb3 Data Sources @@ -7238,7 +7263,7 @@ - 277 + 278 simfinapi Data Sources @@ -7264,7 +7289,7 @@ - 278 + 279 tidyfinance Data Sources @@ -7290,7 +7315,7 @@ - 279 + 280 RQuantLib Financial Instruments and Pricing @@ -7316,7 +7341,7 @@ - 280 + 281 quantmod Financial Instruments and Pricing @@ -7343,7 +7368,7 @@ - 281 + 282 Rmetrics Financial Instruments and Pricing @@ -7368,7 +7393,7 @@ - 282 + 283 fAsianOptions Financial Instruments and Pricing @@ -7394,7 +7419,7 @@ - 283 + 284 fAssets Financial Instruments and Pricing @@ -7420,7 +7445,7 @@ - 284 + 285 fBasics Financial Instruments and Pricing @@ -7446,7 +7471,7 @@ - 285 + 286 fBonds Financial Instruments and Pricing @@ -7472,7 +7497,7 @@ - 286 + 287 fExoticOptions Financial Instruments and Pricing @@ -7498,7 +7523,7 @@ - 287 + 288 fOptions Financial Instruments and Pricing @@ -7524,7 +7549,7 @@ - 288 + 289 fPortfolio Financial Instruments and Pricing @@ -7550,7 +7575,7 @@ - 289 + 290 portfolio Financial Instruments and Pricing @@ -7576,7 +7601,7 @@ - 290 + 291 sparseIndexTracking Financial Instruments and Pricing @@ -7602,7 +7627,7 @@ - 291 + 292 covFactorModel Financial Instruments and Pricing @@ -7628,7 +7653,7 @@ - 292 + 293 riskParityPortfolio Financial Instruments and Pricing @@ -7654,7 +7679,7 @@ - 293 + 294 sde Financial Instruments and Pricing @@ -7680,7 +7705,7 @@ - 294 + 295 YieldCurve Financial Instruments and Pricing @@ -7706,7 +7731,7 @@ - 295 + 296 SmithWilsonYieldCurve Financial Instruments and Pricing @@ -7732,7 +7757,7 @@ - 296 + 297 ycinterextra Financial Instruments and Pricing @@ -7758,7 +7783,7 @@ - 297 + 298 AmericanCallOpt Financial Instruments and Pricing @@ -7784,7 +7809,7 @@ - 298 + 299 VarSwapPrice Financial Instruments and Pricing @@ -7810,7 +7835,7 @@ - 299 + 300 RND Financial Instruments and Pricing @@ -7836,7 +7861,7 @@ - 300 + 301 LSMonteCarlo Financial Instruments and Pricing @@ -7862,7 +7887,7 @@ - 301 + 302 OptHedging Financial Instruments and Pricing @@ -7888,7 +7913,7 @@ - 302 + 303 tvm Financial Instruments and Pricing @@ -7914,7 +7939,7 @@ - 303 + 304 OptionPricing Financial Instruments and Pricing @@ -7940,7 +7965,7 @@ - 304 + 305 credule Financial Instruments and Pricing @@ -7966,7 +7991,7 @@ - 305 + 306 derivmkts Financial Instruments and Pricing @@ -7993,7 +8018,7 @@ - 306 + 307 FinCal Financial Instruments and Pricing @@ -8019,7 +8044,7 @@ - 307 + 308 r-quant Financial Instruments and Pricing @@ -8045,7 +8070,7 @@ - 308 + 309 options.studies Financial Instruments and Pricing @@ -8071,7 +8096,7 @@ - 309 + 310 PortfolioAnalytics Financial Instruments and Pricing @@ -8097,7 +8122,7 @@ - 310 + 311 fmbasics Financial Instruments and Pricing @@ -8123,7 +8148,7 @@ - 311 + 312 R-fixedincome Financial Instruments and Pricing @@ -8149,7 +8174,7 @@ - 312 + 313 backtest Trading @@ -8175,7 +8200,7 @@ - 313 + 314 pa Trading @@ -8201,7 +8226,7 @@ - 314 + 315 TTR Trading @@ -8227,7 +8252,7 @@ - 315 + 316 QuantTools Trading @@ -8252,7 +8277,7 @@ - 316 + 317 blotter Trading @@ -8278,7 +8303,7 @@ - 317 + 318 quantstrat Backtesting @@ -8304,7 +8329,7 @@ - 318 + 319 PerformanceAnalytics Risk Analysis @@ -8330,7 +8355,7 @@ - 319 + 320 FactorAnalytics Factor Analysis @@ -8356,7 +8381,7 @@ - 320 + 321 Expected Returns Factor Analysis @@ -8382,7 +8407,7 @@ - 321 + 322 tseries Time Series @@ -8408,7 +8433,7 @@ - 322 + 323 fGarch Time Series @@ -8434,7 +8459,7 @@ - 323 + 324 timeSeries Time Series @@ -8460,7 +8485,7 @@ - 324 + 325 rugarch Time Series @@ -8486,7 +8511,7 @@ - 325 + 326 rmgarch Time Series @@ -8512,7 +8537,7 @@ - 326 + 327 tidypredict Time Series @@ -8538,7 +8563,7 @@ - 327 + 328 tidyquant Time Series @@ -8564,7 +8589,7 @@ - 328 + 329 timetk Time Series @@ -8590,7 +8615,7 @@ - 329 + 330 tibbletime Time Series @@ -8616,7 +8641,7 @@ - 330 + 331 matrixprofile Time Series @@ -8642,7 +8667,7 @@ - 331 + 332 garchmodels Time Series @@ -8668,7 +8693,7 @@ - 332 + 333 timeDate Calendars @@ -8694,7 +8719,7 @@ - 333 + 334 bizdays Calendars @@ -8720,7 +8745,7 @@ - 334 + 335 RunMat Alternatives @@ -8746,7 +8771,7 @@ - 335 + 336 QUANTAXIS FrameWorks @@ -8772,7 +8797,7 @@ - 336 + 337 PROJ_Option_Pricing_Matlab FrameWorks @@ -8798,7 +8823,7 @@ - 337 + 338 CcyConv.jl @@ -8823,7 +8848,7 @@ - 338 + 339 CryptoExchangeAPIs.jl @@ -8848,7 +8873,7 @@ - 339 + 340 Fastback.jl @@ -8873,7 +8898,7 @@ - 340 + 341 Lucky.jl @@ -8898,7 +8923,7 @@ - 341 + 342 QuantLib.jl @@ -8923,7 +8948,7 @@ - 342 + 343 Ito.jl @@ -8948,7 +8973,7 @@ - 343 + 344 LightweightCharts.jl @@ -8973,7 +8998,7 @@ - 344 + 345 TALib.jl @@ -8998,7 +9023,7 @@ - 345 + 346 Miletus.jl @@ -9023,7 +9048,7 @@ - 346 + 347 Temporal.jl @@ -9048,7 +9073,7 @@ - 347 + 348 Indicators.jl @@ -9073,7 +9098,7 @@ - 348 + 349 Strategems.jl @@ -9098,7 +9123,7 @@ - 349 + 350 TimeSeries.jl @@ -9123,7 +9148,7 @@ - 350 + 351 TechnicalIndicatorCharts.jl @@ -9148,7 +9173,7 @@ - 351 + 352 MarketTechnicals.jl @@ -9173,7 +9198,7 @@ - 352 + 353 MarketData.jl @@ -9198,7 +9223,7 @@ - 353 + 354 OnlineTechnicalIndicators.jl @@ -9223,7 +9248,7 @@ - 354 + 355 OnlinePortfolioAnalytics.jl @@ -9248,7 +9273,7 @@ - 355 + 356 OnlineResamplers.jl @@ -9273,7 +9298,7 @@ - 356 + 357 RiskPerf.jl @@ -9298,7 +9323,7 @@ - 357 + 358 TimeFrames.jl @@ -9323,7 +9348,7 @@ - 358 + 359 DataFrames.jl @@ -9348,7 +9373,7 @@ - 359 + 360 TSFrames.jl @@ -9373,7 +9398,7 @@ - 360 + 361 TimeArrays.jl @@ -9398,7 +9423,7 @@ - 361 + 362 Strata @@ -9423,7 +9448,7 @@ - 362 + 363 JQuantLib @@ -9448,7 +9473,7 @@ - 363 + 364 finmath.net @@ -9473,7 +9498,7 @@ - 364 + 365 quantcomponents @@ -9498,7 +9523,7 @@ - 365 + 366 DRIP @@ -9522,7 +9547,7 @@ - 366 + 367 ta4j @@ -9547,7 +9572,7 @@ - 367 + 368 finance.js @@ -9572,7 +9597,7 @@ - 368 + 369 portfolio-allocation @@ -9597,7 +9622,7 @@ - 369 + 370 Ghostfolio @@ -9622,7 +9647,7 @@ - 370 + 371 IndicatorTS @@ -9647,7 +9672,7 @@ - 371 + 372 chart-patterns @@ -9672,7 +9697,7 @@ - 372 + 373 orderflow @@ -9697,7 +9722,7 @@ - 373 + 374 ccxt @@ -9722,7 +9747,7 @@ - 374 + 375 SimpleFunctions @@ -9747,7 +9772,7 @@ - 375 + 376 PENDAX @@ -9772,7 +9797,7 @@ - 376 + 377 PreReason @@ -9797,7 +9822,7 @@ - 377 + 378 pmxt @@ -9822,7 +9847,7 @@ - 378 + 379 rebalance @@ -9847,7 +9872,7 @@ - 379 + 380 TradeClaw @@ -9872,7 +9897,7 @@ - 380 + 381 QUANTAXIS_Webkit Data Visualization @@ -9898,7 +9923,7 @@ - 381 + 382 quantfin @@ -9923,7 +9948,7 @@ - 382 + 383 Haxcel @@ -9948,7 +9973,7 @@ - 383 + 384 Ffinar @@ -9973,7 +9998,7 @@ - 384 + 385 QuantScale @@ -9998,7 +10023,7 @@ - 385 + 386 Scala Quant @@ -10023,7 +10048,7 @@ - 386 + 387 Jiji @@ -10048,7 +10073,7 @@ - 387 + 388 Tai @@ -10073,7 +10098,7 @@ - 388 + 389 Workbench @@ -10098,7 +10123,7 @@ - 389 + 390 Prop @@ -10123,7 +10148,7 @@ - 390 + 391 Kelp @@ -10148,7 +10173,7 @@ - 391 + 392 marketstore @@ -10173,7 +10198,7 @@ - 392 + 393 IndicatorGo @@ -10198,7 +10223,7 @@ - 393 + 394 QuantLib @@ -10223,7 +10248,7 @@ - 394 + 395 QuantLibRisks @@ -10248,7 +10273,7 @@ - 395 + 396 XAD @@ -10273,7 +10298,7 @@ - 396 + 397 TradeFrame @@ -10298,7 +10323,7 @@ - 397 + 398 Hikyuu @@ -10323,7 +10348,7 @@ - 398 + 399 OrderMatchingEngine @@ -10348,7 +10373,7 @@ - 399 + 400 PandoraTrader @@ -10373,7 +10398,7 @@ - 400 + 401 NexusFix @@ -10398,7 +10423,7 @@ - 401 + 402 QuantLib @@ -10423,7 +10448,7 @@ - 402 + 403 JQuantLib @@ -10448,7 +10473,7 @@ - 403 + 404 RQuantLib @@ -10473,7 +10498,7 @@ - 404 + 405 QuantLibAddin @@ -10497,7 +10522,7 @@ - 405 + 406 QuantLibXL @@ -10521,7 +10546,7 @@ - 406 + 407 QLNet @@ -10546,7 +10571,7 @@ - 407 + 408 PyQL @@ -10571,7 +10596,7 @@ - 408 + 409 QuantLib.jl @@ -10596,7 +10621,7 @@ - 409 + 410 QuantLib-Python Documentation @@ -10620,7 +10645,7 @@ - 410 + 411 TA-Lib @@ -10645,7 +10670,7 @@ - 411 + 412 QuantConnect @@ -10669,13 +10694,13 @@ - - 412 + + 413 StockSharp - 9.5k + 9.5k 2026-03-28 @@ -10695,7 +10720,7 @@ - 413 + 414 TDAmeritrade.DotNetCore @@ -10720,7 +10745,7 @@ - 414 + 415 QuantMath @@ -10745,7 +10770,7 @@ - 415 + 416 Barter @@ -10770,7 +10795,7 @@ - 416 + 417 LFEST @@ -10795,7 +10820,7 @@ - 417 + 418 TradeAggregation @@ -10820,7 +10845,7 @@ - 418 + 419 OpenFinClaw @@ -10845,7 +10870,7 @@ - 419 + 420 SlidingFeatures @@ -10870,7 +10895,7 @@ - 420 + 421 RustQuant @@ -10895,7 +10920,7 @@ - 421 + 422 fin-primitives @@ -10920,7 +10945,7 @@ - 422 + 423 fin-stream @@ -10945,7 +10970,7 @@ - 423 + 424 Special-Relativity-in-Financial-Modeling @@ -10970,7 +10995,7 @@ - 424 + 425 finalytics @@ -10995,7 +11020,7 @@ - 425 + 426 RunMat @@ -11020,7 +11045,7 @@ - 426 + 427 Auto-Differentiation Website @@ -11044,7 +11069,7 @@ - 427 + 428 Derman Papers @@ -11069,7 +11094,7 @@ - 428 + 429 volatility-trading @@ -11094,7 +11119,7 @@ - 429 + 430 quant @@ -11119,7 +11144,7 @@ - 430 + 431 fecon235 @@ -11144,7 +11169,7 @@ - 431 + 432 Quantitative-Notebooks @@ -11169,7 +11194,7 @@ - 432 + 433 QuantEcon @@ -11193,7 +11218,7 @@ - 433 + 434 FinanceHub @@ -11218,7 +11243,7 @@ - 434 + 435 Python_Option_Pricing @@ -11243,7 +11268,7 @@ - 435 + 436 python-training @@ -11268,7 +11293,7 @@ - 436 + 437 Stock_Analysis_For_Quant @@ -11293,7 +11318,7 @@ - 437 + 438 algorithmic-trading-with-python @@ -11318,7 +11343,7 @@ - 438 + 439 MEDIUM_NoteBook @@ -11343,7 +11368,7 @@ - 439 + 440 QuantFinance @@ -11368,7 +11393,7 @@ - 440 + 441 IPythonScripts @@ -11393,7 +11418,7 @@ - 441 + 442 Computational-Finance-Course @@ -11418,7 +11443,7 @@ - 442 + 443 Machine-Learning-for-Asset-Managers @@ -11443,7 +11468,7 @@ - 443 + 444 Python-for-Finance-Cookbook @@ -11468,7 +11493,7 @@ - 444 + 445 modelos_vol_derivativos @@ -11493,7 +11518,7 @@ - 445 + 446 NMOF @@ -11518,7 +11543,7 @@ - 446 + 447 py4fi2nd @@ -11543,7 +11568,7 @@ - 447 + 448 aiif @@ -11568,7 +11593,7 @@ - 448 + 449 py4at @@ -11593,7 +11618,7 @@ - 449 + 450 dawp @@ -11618,7 +11643,7 @@ - 450 + 451 dx @@ -11643,7 +11668,7 @@ - 451 + 452 QuantFinanceBook @@ -11668,7 +11693,7 @@ - 452 + 453 rough_bergomi @@ -11693,7 +11718,7 @@ - 453 + 454 frh-fx @@ -11718,7 +11743,7 @@ - 454 + 455 Value Investing Studies @@ -11743,7 +11768,7 @@ - 455 + 456 Machine Learning Asset Management @@ -11768,7 +11793,7 @@ - 456 + 457 Deep Learning Machine Learning Stock @@ -11793,7 +11818,7 @@ - 457 + 458 Technical Analysis and Feature Engineering @@ -11818,7 +11843,7 @@ - 458 + 459 Differential Machine Learning and Axes that matter by Brian Huge and Antoine Savine @@ -11843,7 +11868,7 @@ - 459 + 460 systematictradingexamples @@ -11868,7 +11893,7 @@ - 460 + 461 pysystemtrade_examples @@ -11893,7 +11918,7 @@ - 461 + 462 ML_Finance_Codes @@ -11918,7 +11943,7 @@ - 462 + 463 Hands-On Machine Learning for Algorithmic Trading @@ -11943,7 +11968,7 @@ - 463 + 464 financialnoob-misc @@ -11968,7 +11993,7 @@ - 464 + 465 MesoSim Options Trading Strategy Library @@ -11993,7 +12018,7 @@ - 465 + 466 Quant-Finance-With-Python-Code @@ -12018,7 +12043,7 @@ - 466 + 467 QuantFinanceTraining @@ -12043,7 +12068,7 @@ - 467 + 468 Statistical-Learning-based-Portfolio-Optimization @@ -12068,7 +12093,7 @@ - 468 + 469 book_irds3 @@ -12093,7 +12118,7 @@ - 469 + 470 Autoencoder-Asset-Pricing-Models @@ -12118,7 +12143,7 @@ - 470 + 471 Finance @@ -12143,7 +12168,7 @@ - 471 + 472 101_formulaic_alphas @@ -12168,7 +12193,7 @@ - 472 + 473 Tidy Finance @@ -12192,7 +12217,7 @@ - 473 + 474 RoughVolatilityWorkshop @@ -12217,7 +12242,7 @@ - 474 + 475 AFML @@ -12242,7 +12267,7 @@ - 475 + 476 AlgoTradingLib @@ -12267,7 +12292,7 @@ - 476 + 477 Portfolio Optimization Book @@ -12292,7 +12317,7 @@ - 477 + 478 Chartscout @@ -12316,7 +12341,7 @@ - 478 + 479 DayTradingBench @@ -12340,7 +12365,7 @@ - 479 + 480 CoinTester @@ -12364,7 +12389,7 @@ - 480 + 481 goMacro.ai @@ -12388,7 +12413,7 @@ - 481 + 482 StockAInsights @@ -12412,7 +12437,7 @@ - 482 + 483 brapi.dev @@ -12436,7 +12461,7 @@ - 483 + 484 13F Insight @@ -12460,7 +12485,7 @@ - 484 + 485 Earnings Feed @@ -12484,7 +12509,7 @@ - 485 + 486 Financial Data @@ -12508,7 +12533,7 @@ - 486 + 487 Frostbyte @@ -12532,7 +12557,7 @@ - 487 + 488 SaxoOpenAPI @@ -12556,7 +12581,7 @@ - 488 + 489 RTPR @@ -12580,7 +12605,7 @@ - 489 + 490 Nasdaq Data Link @@ -12604,7 +12629,7 @@ - 490 + 491 Parsec @@ -12628,7 +12653,7 @@ - 491 + 492 Portfolio Optimizer @@ -12652,7 +12677,7 @@ - 492 + 493 Reddit WallstreetBets API @@ -12676,7 +12701,7 @@ - 493 + 494 System R @@ -12700,7 +12725,7 @@ - 494 + 495 Telonex @@ -12724,7 +12749,7 @@ - 495 + 496 ValueRay @@ -12748,7 +12773,7 @@ - 496 + 497 VertData @@ -12772,7 +12797,7 @@ - 497 + 498 KeepRule @@ -12796,7 +12821,7 @@ - 498 + 499 ML-Quant @@ -12820,7 +12845,7 @@ - 499 + 500 awesome-sec-filings @@ -12844,7 +12869,7 @@ - 500 + 501 CONVEXFI diff --git a/projects.csv b/projects.csv index 7ad3d80..180dc57 100644 --- a/projects.csv +++ b/projects.csv @@ -2,7 +2,7 @@ project,language,category,section,section_slug,last_commit,stars,url,description numpy,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-03-26,31674,https://www.numpy.org,NumPy is the fundamental package for scientific computing with Python. [GitHub](https://github.com/numpy/numpy),True,False,False,False,numpy/numpy scipy,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-03-28,14569,https://www.scipy.org,"SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. [GitHub](https://github.com/scipy/scipy)",True,False,False,False,scipy/scipy pandas,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-03-28,48260,https://pandas.pydata.org,"pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. [GitHub](https://github.com/pandas-dev/pandas)",True,False,False,False,pandas-dev/pandas -polars,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-03-27,37888,https://docs.pola.rs/,Polars is a blazingly fast DataFrame library for manipulating structured data. [GitHub](https://github.com/pola-rs/polars),True,False,False,False,pola-rs/polars +polars,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-03-27,37889,https://docs.pola.rs/,Polars is a blazingly fast DataFrame library for manipulating structured data. [GitHub](https://github.com/pola-rs/polars),True,False,False,False,pola-rs/polars quantdsl,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2017-10-26,377,https://github.com/johnbywater/quantdsl,Domain specific language for quantitative analytics in finance and trading.,True,False,False,False,johnbywater/quantdsl statistics,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,,0,https://docs.python.org/3/library/statistics.html,Builtin Python library for all basic statistical calculations.,False,False,False,False, sympy,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-03-27,14516,https://www.sympy.org/,SymPy is a Python library for symbolic mathematics. [GitHub](https://github.com/sympy/sympy),True,False,False,False,sympy/sympy @@ -91,10 +91,10 @@ Quantdom,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting, freqtrade,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-28,48110,https://github.com/freqtrade/freqtrade,"Free, open source crypto trading bot",True,False,False,False,freqtrade/freqtrade algorithmic-trading-with-python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-06-01,3276,https://github.com/chrisconlan/algorithmic-trading-with-python,"Free `pandas` and `scikit-learn` resources for trading simulation, backtesting, and machine learning on financial data.",True,False,False,False,chrisconlan/algorithmic-trading-with-python DeepDow,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-01-24,1122,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning,True,False,False,False,jankrepl/deepdow -Qlib,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-10,39427,https://github.com/microsoft/qlib,"An AI-oriented Quantitative Investment Platform by Microsoft. Full ML pipeline of data processing, model training, back-testing; and covers the entire chain of quantitative investment: alpha seeking, risk modeling, portfolio optimization, and order execution.",True,False,False,False,microsoft/qlib +Qlib,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-10,39428,https://github.com/microsoft/qlib,"An AI-oriented Quantitative Investment Platform by Microsoft. Full ML pipeline of data processing, model training, back-testing; and covers the entire chain of quantitative investment: alpha seeking, risk modeling, portfolio optimization, and order execution.",True,False,False,False,microsoft/qlib machine-learning-for-trading,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-03-05,16857,https://github.com/stefan-jansen/machine-learning-for-trading,Code and resources for Machine Learning for Algorithmic Trading,True,False,False,False,stefan-jansen/machine-learning-for-trading AlphaPy,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-08-24,1708,https://github.com/ScottfreeLLC/AlphaPy,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost",True,False,False,False,ScottfreeLLC/AlphaPy -jesse,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-28,7603,https://github.com/jesse-ai/jesse,An advanced crypto trading bot written in Python,True,False,False,False,jesse-ai/jesse +jesse,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-28,7604,https://github.com/jesse-ai/jesse,An advanced crypto trading bot written in Python,True,False,False,False,jesse-ai/jesse rqalpha,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-11,6255,https://github.com/ricequant/rqalpha,"A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities.",True,False,False,False,ricequant/rqalpha FinRL-Library,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-24,14599,https://github.com/AI4Finance-LLC/FinRL-Library,A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020.,True,False,False,False,AI4Finance-LLC/FinRL-Library bulbea,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2017-03-19,2266,https://github.com/achillesrasquinha/bulbea,Deep Learning based Python Library for Stock Market Prediction and Modelling.,True,False,False,False,achillesrasquinha/bulbea @@ -117,7 +117,7 @@ PyLOB,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,202 PyBroker,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-05,3246,https://github.com/edtechre/pybroker,Algorithmic Trading with Machine Learning.,True,False,False,False,edtechre/pybroker OctoBot Script,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-27,39,https://github.com/Drakkar-Software/OctoBot-Script,A quant framework to create cryptocurrencies strategies - from backtesting to optimization to livetrading.,True,False,False,False,Drakkar-Software/OctoBot-Script hftbacktest,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-12-23,3869,https://github.com/nkaz001/hftbacktest,"A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.",True,False,False,False,nkaz001/hftbacktest -vnpy,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-14,38495,https://github.com/vnpy/vnpy,VeighNa is a Python-based open source quantitative trading system development framework.,True,False,False,False,vnpy/vnpy +vnpy,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-14,38496,https://github.com/vnpy/vnpy,VeighNa is a Python-based open source quantitative trading system development framework.,True,False,False,False,vnpy/vnpy Intelligent Trading Bot,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-02-28,1651,https://github.com/asavinov/intelligent-trading-bot,Automatically generating signals and trading based on machine learning and feature engineering,True,False,False,False,asavinov/intelligent-trading-bot fastquant,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-09-15,1748,https://github.com/enzoampil/fastquant,fastquant allows you to easily backtest investment strategies with as few as 3 lines of python code.,True,False,False,False,enzoampil/fastquant nautilus_trader,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-28,21468,https://github.com/nautechsystems/nautilus_trader,A high-performance algorithmic trading platform and event-driven backtester.,True,False,False,False,nautechsystems/nautilus_trader @@ -201,6 +201,7 @@ ticks,Python,Data Sources,Data Sources,data-sources,2016-01-08,16,https://github pybbg,Python,Data Sources,Data Sources,data-sources,2015-01-20,53,https://github.com/bpsmith/pybbg,Python interface to Bloomberg COM APIs.,True,False,False,False,bpsmith/pybbg ccy,Python,Data Sources,Data Sources,data-sources,2025-12-28,95,https://github.com/lsbardel/ccy,Python module for currencies.,True,False,False,False,lsbardel/ccy tushare,Python,Data Sources,Data Sources,data-sources,2024-08-27,0,https://pypi.org/project/tushare/,A utility for crawling historical and Real-time Quotes data of China stocks. (Last updated: 2024-08-27),False,False,True,False, +edinetdb,Python,Data Sources,Data Sources,data-sources,,0,https://edinetdb.com/,"Free API and MCP server for Japanese company financials. Normalizes EDINET XBRL across JP-GAAP, IFRS, and US-GAAP for 3,800+ listed companies with 90 metrics, screening, and securities report text.",False,False,False,False, edinet-mcp,Python,Data Sources,Data Sources,data-sources,2026-03-02,4,https://github.com/ajtgjmdjp/edinet-mcp,"Parse Japanese XBRL financial statements from EDINET with 161 normalized labels, 26 financial metrics, and multi-company screening.",True,False,False,False,ajtgjmdjp/edinet-mcp estat-mcp,Python,Data Sources,Data Sources,data-sources,2026-03-02,0,https://github.com/ajtgjmdjp/estat-mcp,"Access Japanese government statistics (e-Stat) covering population, GDP, CPI, labor, and trade data with MCP integration and Polars export.",True,False,False,False,ajtgjmdjp/estat-mcp tdnet-disclosure-mcp,Python,Data Sources,Data Sources,data-sources,2026-03-02,1,https://github.com/ajtgjmdjp/tdnet-disclosure-mcp,"Access Japanese timely disclosures (TDNet) via MCP. Retrieve earnings, dividends, forecasts, buybacks, and other filings for 4,000+ listed companies. No API key required.",True,False,False,False,ajtgjmdjp/tdnet-disclosure-mcp @@ -410,7 +411,7 @@ QuantLib.jl,Frameworks,,,frameworks,2020-02-18,143,https://github.com/pazzo83/Qu QuantLib-Python Documentation,Frameworks,,,frameworks,,0,https://quantlib-python-docs.readthedocs.io/,Documentation for the Python bindings for the QuantLib library,False,False,False,False, TA-Lib,Frameworks,,,frameworks,2025-10-19,1515,https://ta-lib.org,perform technical analysis of financial market data. [GitHub](https://github.com/TA-Lib/ta-lib),True,False,False,False,TA-Lib/ta-lib QuantConnect,CSharp,,,csharp,2026-03-25,18123,https://github.com/QuantConnect/Lean,Lean Engine is an open-source fully managed C# algorithmic trading engine built for desktop and cloud usage.,True,False,False,False,QuantConnect/Lean -StockSharp,CSharp,,,csharp,2026-03-28,9468,https://github.com/StockSharp/StockSharp,"Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).",True,False,False,False,StockSharp/StockSharp +StockSharp,CSharp,,,csharp,2026-03-28,9469,https://github.com/StockSharp/StockSharp,"Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).",True,False,False,False,StockSharp/StockSharp TDAmeritrade.DotNetCore,CSharp,,,csharp,2023-03-10,57,https://github.com/NVentimiglia/TDAmeritrade.DotNetCore,"Free, open-source .NET Client for the TD Ameritrade Trading Platform. Helps developers integrate TD Ameritrade API into custom trading solutions.",True,False,False,False,NVentimiglia/TDAmeritrade.DotNetCore QuantMath,Rust,,,rust,2020-05-28,404,https://github.com/MarcusRainbow/QuantMath,Financial maths library for risk-neutral pricing and risk,True,False,False,False,MarcusRainbow/QuantMath Barter,Rust,,,rust,2026-03-05,2043,https://github.com/barter-rs/barter-rs,Open-source Rust framework for building event-driven live-trading & backtesting systems,True,False,False,False,barter-rs/barter-rs