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Awesome Quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
wilsonfreitas/awesome-quant
#algorithmic-trading-engine
#algorithmic-trading-library
#algotrading
#arbitrage-bot
#awesome
#awesome-list
#finance
#finance-api
#financial-data
#financial-instruments
#google-finance
#quant
#quantitative-finance
#quantitative-trading
#stock-data
#technical-analysis
#trading-algorithms
#trading-bot
#trading-strategies
#yahoo-finance
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GitHub stars and default-branch commits for wilsonfreitas/awesome-quant.
Latest scan 2026-06-19 22:37
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pola-rs/polars
Extremely fast Query Engine for DataFrames, written in Rust
GitHub topics
- Updated
- 2026-06-19
- Lists
- 5 list mentions
- First commit
- 2020-05-10
- License
- MIT
- Issues
- 2,805 open
38,829
stars
- Forks
- 2,891
- Commits
- 14,885 commits
- Star growth, last 7 days
- +66 +0.2%
- Commit velocity, last 7 days
- +25 +0.2%
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
- Updated
- 2026-06-19
- Lists
- 1 list mention
- First commit
- 2019-02-08
- License
- MIT
- Issues
- 0 open
- Forks
- 5,318
- Commits
- 352 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%
functime-org/functime
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
GitHub topics
- Updated
- 2026-05-03
- Lists
- 1 list mention
- First commit
- 2023-06-05
- License
- Apache-2.0
- Issues
- 57 open
1,180
stars
- Forks
- 64
- Commits
- 632 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%
Jebel-Quant/jquantstats
Time series and portfolio analytics for quantitative finance.
AI dev
GitHub topics
- Updated
- 2026-06-17
- Lists
- 1 list mention
- First commit
- 2025-05-06
- License
- MIT
- Issues
- 4 open
- Forks
- 9
- Commits
- 1,209 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%
yupoet/aurumq-rl
RL stock selection for China A-share — bundled polars-native factor library (105 Alpha101 + 191 GTJA Alpha191 = 296 factors), board-aware price limits, GPU train + ONNX CPU infer, MIT-licensed.
AI dev
- Updated
- 2026-06-07
- Lists
- 1 list mention
- First commit
- 2026-04-27
- License
- NOASSERTION
- Issues
- 0 open
14
stars
- Forks
- 3
- Commits
- 223 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%