Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
| Date | Stars |
|---|---|
| 2026-07-24 | 2463 |
| 2026-07-25 | 2462 |
| 2026-07-28 | 2462 |
| 2026-07-30 | 2462 |
| 2026-08-06 | 2462 |
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<div align="center">
<img style="margin: 0 auto; padding-bottom: 15px; padding-top: 30px" width=70%" src="https://firebasestorage.googleapis.com/v0/b/blankly-6ada5.appspot.com/o/blankly-github-logo.png?alt=media&token=8f436cd2-3d28-432c-867a-afef780f4260">
</div>
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<div align="center">
<b>💨 Rapidly build and deploy quantitative models for stocks, crypto, and forex 🚀</b>
</div>
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<p align="center">
<a target="_blank" href="https://sonarcloud.io/dashboard?id=Blankly-Finance_Blankly"><img src="https://sonarcloud.io/api/project_badges/measure?project=Blankly-Finance_Blankly&metric=sqale_rating"></a>
<a target="_blank" href="https://sonarcloud.io/dashboard?id=Blankly-Finance_Blankly"><img src="https://sonarcloud.io/api/project_badges/measure?project=Blankly-Finance_Blankly&metric=alert_status"></a>
<a target="_blank" href="https://github.com/Blankly-Finance/Blankly/actions/workflows/test.yml"><img src="https://github.com/Blankly-Finance/Blankly/actions/workflows/test.yml/badge.svg?branch=main"></a> <br>
<a target="_blank" href="https://static.pepy.tech/badge/blankly"><img src="https://static.pepy.tech/badge/blankly"></a>
<a target="_blank" href="https://github.com/Blankly-Finance/Blankly/blob/main/LICENSE"><img src="https://img.shields.io/pypi/l/blankly?color=gree"></a>
<a target="_blank" href="https://github.com/Blankly-Finance/Blankly/stargazers"><img src="https://img.shields.io/github/stars/blankly-finance/blankly?style=social"></a>
<a target="_blank" href="https://discord.gg/XWcmy7Y9bb"><img src="https://img.shields.io/discord/821563936297451530.svg?color=7289da&label=Blankly%20Discord&logo=discord&style=flat"></a>
</p>
<p align="center">
<a target="_blank" href="https://docs.blankly.finance">View Docs</a>
·
<a target="_blank" href="https://blankly.finance">Our Website</a>
·
<a target="_blank" href="https://blankly.substack.com">Join Our Newsletter</a>
·
<a href="#quickstart">Getting Started</a>
</p>
---
## Why Blankly?
Blankly is an ecosystem for algotraders enabling anyone to build, monetize and scale their trading algorithms for stocks, crypto, futures or forex. The same code can be backtested, paper traded, sandbox tested and run live by simply changing a single line. Develop locally then deploy, iterate and share using the blankly platform.
The blankly package is designed to be **extremely precise** in both simulation and live trading. **The engineering considerations for highly accurate simulation are described [here](blankly/BACKTESTING_ENGINEERING.md)**
Getting started is easy - just `pip install blankly` and `blankly init`.
Check out our [website](https://blankly.finance) and our [docs](https://docs.blankly.finance).
<div align="center">
<a target="_blank" href="https://youtu.be/pcm0h63rhUU"><img src="https://firebasestorage.googleapis.com/v0/b/blankly-6ada5.appspot.com/o/github%2Fbuild_a_bot_readme_thumbnail.jpg?alt=media&token=a9dd030a-805c-447f-a970-2bc8e1815662" style="border-radius:10px; width: 50%"></a>
</div>
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### Trade Stocks, Crypto, Futures, and Forex
```python
from blankly import Alpaca, CoinbasePro
stocks = Alpaca()
crypto = CoinbasePro()
futures = BinanceFutures()
# Easily perform the same actions across exchanges & asset types
stocks.interface.market_order('AAPL', 'buy', 1)
crypto.interface.market_order('BTC-USD', 'buy', 1)
# Full futures feature set
futures.interface.get_hedge_mode()
```
### Backtest your trades, events, websockets, and custom data
```python
import blankly
"""
This example shows how backtest over tweets
"""
class TwitterBot(blankly.Model):
def main(self, args):
while self.has_data:
self.backtester.value_account()
self.sleep('1h')
def event(self, type_: str, data: str):
# Now check if it's a tweet about Tesla
if 'tsla' in data.lower() or 'gme' in data.lower():
# Buy, sell or evaluate your portfolio
pass
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Kobe Janssens · AlgoQ
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b02b71431b7348d9, topic:trading, readme:quantitative