quantopian/zipline
Some data may be outdated — see provenance labels.
Zipline, a Pythonic Algorithmic Trading Library observed · 2026-09-26
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 5114
- days_rel: n/a
- days_push: 980
- n_releases_24m: 0
Adoption not part of the score
20116 stars · 5049 forks observed · 2026-09-26
What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-19, confidence 0.92
Zipline is an open‑source Python library for event‑driven algorithmic trading and backtesting. It provides a framework to write, test, and analyze trading strategies using familiar Pandas data structures.
Use cases
- Backtest a quantitative trading strategy on historical market data
- Simulate portfolio performance over time to evaluate risk and return
- Develop and prototype algorithmic trading ideas in a Pythonic environment
- Integrate custom statistical or machine‑learning models into a trading workflow
- Generate performance reports and visualizations for research purposes
- Run research on financial time series using Pandas and NumPy
When to choose
- You need a Python‑centric backtesting engine that works seamlessly with Pandas
- You want an open‑source, community‑maintained library for quantitative finance research
- Your workflow involves integrating statistical or machine‑learning libraries like scikit‑learn
- You prefer an event‑driven simulation model that mimics real trading logic
When to avoid
- You require low‑latency, high‑frequency live trading execution
- You need built‑in support for modern Python versions beyond 3.6 without extra effort
- You prefer a fully managed cloud service rather than self‑hosted code
- Your project depends on features that are no longer actively maintained in Zipline
Facets
library · maturity active
api-framework simulation data-science data-science backend python algorithmic-trading backtesting event-driven pandas-integration finance
6 sources
- readme: https://github.com/quantopian/zipline · fetched 2026-09-26 · b49a82a5acc1
- homepage: https://www.zipline.io · fetched 2026-10-05 · 15cc6426888f
- site_page: https://www.zipline.io/about · fetched 2026-10-05 · 55f92a712a3a
- site_page: https://www.zipline.io/products/visitor-compliance · fetched 2026-10-05 · 50299b2492f0
- site_page: https://www.zipline.io/products/employee-compliance · fetched 2026-10-05 · 761a0c27434f
- site_page: https://www.zipline.io/products/contractor-compliance · fetched 2026-10-05 · e10dbecd4624
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| quantopian/zipline | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="quantopian/zipline")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem