Papers With Backtest
@paperswithbacktest • Open source projects from paperswithbacktest. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
99%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
30 repos
Visible snapshot
2 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (30)
Average size
498
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2025-06-04(493d ago)GitHub API fallback30 repositories
99%
of the visible star count comes from this organization's top three repositories.
498
stars per repository in this same snapshot.
Python
is the most common language here, with 2 repositories updated in the last 90 days.
Why this rank
This organization stands out because one flagship repo drives 98% of its visible star count.
Flagship share 98%Breakout repo: awesome-systematic-trading
Organization pages work best when you separate portfolio breadth from flagship concentration. In Papers With Backtest's case, the visible top three repositories account for about 99% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Python (30). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | paperswithbacktest/awesome-systematic-trading A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. | Python | 14.6K |
| 2 | paperswithbacktest/pwb-alphaevolve DeepMind’s AlphaEvolve coding agent for trading strategies. | Python | 131 |
| 3 | paperswithbacktest/vnpy Python based open source quantitative trading platform development framework | Python | 94 |
| 4 | paperswithbacktest/pwb-toolbox The toolbox for developing systematic trading strategies. It includes datasets and strategy ideas to assist in developing and backtesting trading algorithms. | Python | 79 |
| 5 | paperswithbacktest/pwb-backtrader Python Backtesting library for trading strategies | Python | 9 |
| 6 | paperswithbacktest/vnpy_pwb Papers With Backtest Data Interface for the VeighNa Framework | Python | 6 |
| 7 | paperswithbacktest/mlfinlab MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools. | Python | 4 |
| 8 | paperswithbacktest/vnpy_algotrading Algorithmic Trading Module for the VeighNa Framework | Python | 4 |
| 9 | paperswithbacktest/vnpy_datamanager Data management module of the VeighNa framework | Python | 1 |
| 10 | paperswithbacktest/vnpy_optionmaster Options Volatility Trading Module for the VeighNa Framework | Python | 1 |
| 11 | paperswithbacktest/vnpy_ctabacktester CTA backtesting module for the VeighNa framework | Python | 1 |
| 12 | paperswithbacktest/vnpy_mongodb MongoDB Database Interface for VeighNa Framework | Python | 0 |
| 13 | paperswithbacktest/vnpy_postgresql PostgreSQL Database Interface for VeighNa Framework | Python | 0 |
| 14 | paperswithbacktest/vnpy_mysql MySQL Database Interface for VeighNa Framework | Python | 0 |
| 15 | paperswithbacktest/vnpy_sqlite SQLite Database Interface for VeighNa Framework | Python | 0 |
| 16 | paperswithbacktest/vnpy_websocket Websocket API Client for VeighNa Framework | Python | 0 |
| 17 | paperswithbacktest/vnpy_rest REST API Client for the VeighNa Framework | Python | 0 |
| 18 | paperswithbacktest/vnpy_webtrader VeighNa Framework for Web-side Management Server | Python | 0 |
| 19 | paperswithbacktest/vnpy_riskmanager Ex ante risk control module of the VeighNa framework | Python | 0 |
| 20 | paperswithbacktest/vnpy_excelrtd Excel RTD Application Module for the VeighNa Framework | Python | 0 |
| 21 | paperswithbacktest/vnpy_datarecorder Ticker Recording Module for VeighNa Framework | Python | 0 |
| 22 | paperswithbacktest/vnpy_rpcservice RPC Service Application and Transaction Interface for the VeighNa Framework | Python | 0 |
| 23 | paperswithbacktest/vnpy_portfoliomanager Trading Portfolio Management Module for the VeighNa Framework | Python | 0 |
| 24 | paperswithbacktest/vnpy_chartwizard K-Line Charting Module for the VeighNa Framework | Python | 0 |
| 25 | paperswithbacktest/vnpy_paperaccount Paper Trading Module for the VeighNa Framework | Python | 0 |
| 26 | paperswithbacktest/vnpy_scripttrader Script Transaction Module for the VeighNa Framework | Python | 0 |
| 27 | paperswithbacktest/vnpy_portfoliostrategy Portfolio Strategy Module for the VeighNa Framework | Python | 0 |
| 28 | paperswithbacktest/vnpy_spreadtrading Spread Trading Module for the VeighNa Framework | Python | 0 |
| 29 | paperswithbacktest/vnpy_ctastrategy CTA Strategy Module for the VeighNa Framework | Python | 0 |
| 30 | paperswithbacktest/vnpy_ib InteractiveBrokers Trading Interface for the VeighNa Framework | Python | 0 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.