Emsu/prophet
Financial markets analysis framework for programmers observed · 2026-08-28
Health v2 · maintenance only
57/100
- Activity 77
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4311
- days_rel: n/a
- days_push: 142
- n_releases_24m: 0
Adoption not part of the score
1093 stars · 122 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Prophet is a Python microframework for financial markets analysis that lets programmers model trading strategies, manage portfolios, and run backtests with a small API. It provides data generators (e.g. Yahoo close prices), order generation, and portfolio analyzers like Sharpe ratio and cumulative return.
Use cases
- backtest a trading strategy in python
- generate stock orders for today
- compute sharpe ratio and returns for a strategy
- build a quantitative trading framework on pandas
- analyze portfolio performance over historical data
- pull historical close prices from yahoo finance
When to choose
- you want a minimal, programmer-friendly python framework for strategy backtesting
- you need quick portfolio analytics like sharpe ratio and volatility
- you prefer a small API over heavyweight quant platforms
When to avoid
- you need live trading or broker integration
- you need high-frequency or tick-level data support
- you need a actively maintained ecosystem with python 3-only modern tooling
Facets
framework · maturity active
trading data-science benchmarking fintech data-science machine-learning python cross-platform backtesting quantitative-finance portfolio-management microframework order-generation
1 source
- readme: https://github.com/Emsu/prophet · fetched 2026-08-28 · 20205c176184
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Emsu/prophet | main | 57 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem