From 2f800efbd0a9ad25a208c91aa49e99ba11530667 Mon Sep 17 00:00:00 2001 From: Adam Pointer Date: Mon, 29 Jun 2026 17:36:47 +0100 Subject: [PATCH] Add tessera-api to Market Data & Data Sources (#428) Official Python client for Tessera: order-flow-enriched OHLCV, funding-rate, and positioning datasets built from raw Hyperliquid trades, read into Polars or DuckDB over a REST API. Open source (GPLv3). Co-authored-by: Claude Opus 4.8 (1M context) --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index a539820..327c622 100644 --- a/README.md +++ b/README.md @@ -447,6 +447,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants - [market-prices](https://github.com/maread99/market_prices) - `Python` - Create meaningful OHLCV datasets from knowledge of [exchange-calendars](https://github.com/gerrymanoim/exchange_calendars) (works out-the-box with data from Yahoo Finance). - [tardis-python](https://github.com/tardis-dev/tardis-python) - `Python` - Python interface for Tardis.dev high frequency crypto market data. - [lake-api](https://github.com/crypto-lake/lake-api) - `Python` - Python interface for Crypto Lake high frequency crypto market data. +- [tessera-api](https://github.com/tesseralytics/python-client) - `Python` - Official client for Tessera: order-flow-enriched OHLCV, funding-rate, and positioning datasets built from raw Hyperliquid trades, read straight into Polars or DuckDB over a REST API. [Website](https://tesseralytics.dev) - [tessa](https://github.com/ymyke/tessa) - `Python` - simple, hassle-free access to price information of financial assets (currently based on yfinance and pycoingecko), including search and a symbol class. - [pandaSDMX](https://github.com/dr-leo/pandaSDMX) - `Python` - Python package that implements SDMX 2.1 (ISO 17369:2013), a format for exchange of statistical data and metadata used by national statistical agencies, central banks, and international organisations. - [cif](https://github.com/LenkaV/CIF) - `Python` - Python package that include few composite indicators, which summarize multidimensional relationships between individual economic indicators.