Best Pyfolio Alternatives ranked by AI · updated Aug 2026

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pyfolio is an open-source Python library for analyzing portfolio performance, returns, drawdowns, exposures, and risk statistics. It was designed for quantitative traders and researchers, but the project is archived and no longer actively maintained.

Developer: Quantopian Price: Free 🎯 quantopian.github.io/pyfolio

Python quantitative finance backtesting portfolio analysis

Top 6 Pyfolio alternatives

QuantStats

Ran Aroussi

💡 Pick it for a maintained, pyfolio-like reporting library with modern HTML tear sheets.

QuantStats is a Python library for portfolio performance analytics, risk statistics, and visual reporting. It is aimed at traders and quantitative analysts...

Pros

Actively maintained and easier to install than pyfolio
Provides polished HTML reports and extensive risk metrics
Supports benchmark comparisons, rolling statistics, and Monte Carlo analysis

Cons

Does not provide a full portfolio construction or optimization framework
Some advanced features require understanding return series conventions
Less suitable than vectorbt for large parameterized backtests

Free

Alternatives to QuantStats → Visit site

vectorbt

Oleg Polakow

💡 Pick it when you need fast backtesting and portfolio analytics in one Python framework.

vectorbt is a Python quantitative analysis and backtesting platform built around pandas and NumPy. It serves researchers and systematic traders who need...

Pros

Much faster than pyfolio for vectorized and parameterized backtests
Combines signal generation, portfolio simulation, and performance analysis
Works well with NumPy, pandas, and Numba-based workflows

Cons

Steeper learning curve than pyfolio for simple reporting tasks
More focused on backtesting than standalone tear-sheet generation
Vectorized assumptions can be unsuitable for path-dependent strategies

Free; paid Pro edition available

Alternatives to vectorbt → Visit site

BT

💡 Pick it when portfolio allocation and rebalancing matter more than pyfolio-style reporting.

BT is a global communications company offering a wide range of products and services including broadband, TV, and mobile.

Varies

Alternatives to BT → Visit site

PyPortfolioOpt

Robert Martin

💡 Pick it when you need portfolio construction and optimization instead of only post-trade analysis.

PyPortfolioOpt is a Python library for portfolio optimization using expected returns, risk models, and convex optimization. It is aimed at investors and...

Pros

Adds portfolio optimization capabilities that pyfolio does not provide
Supports mean-variance, Black-Litterman, hierarchical, and custom objectives
Integrates with pandas and common financial data workflows

Cons

Provides less detailed performance reporting than pyfolio
Optimization results are sensitive to expected-return and covariance estimates
Not a complete backtesting engine by itself

Free

Alternatives to PyPortfolioOpt → Visit site

Riskfolio-Lib

David Cajas

💡 Pick it for advanced risk-based allocation, constraints, and optimization models.

Riskfolio-Lib is an open-source Python library for portfolio optimization, risk budgeting, asset allocation, and risk measurement. It is designed for quantitative analysts...

Pros

Supports more risk measures and portfolio models than pyfolio
Includes risk parity, risk budgeting, robust optimization, and clustering methods
Handles practical constraints such as turnover, leverage, and position limits

Cons

More complex to learn than pyfolio's reporting-focused API
Optimization workflows require careful parameter and solver selection
Less convenient for quick visual tear sheets

Free

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ffn

pmorissette

💡 Pick it for a lightweight set of financial analytics functions embedded in custom Python reports.

ffn is a Python library of financial functions for return analysis, performance statistics, drawdowns, and portfolio comparisons. It is intended for analysts...