Data Pipelines

zipline

Pythonic algorithmic trading library for backtesting and live trading.

Status
UnmaintainedNo commits in 2141 days.
Last checked
Checked · Oct 12, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Zipline is a Pythonic algorithmic trading library that enables users to write, test, and deploy quantitative trading strategies. It's designed for both backtesting historical data and deploying live trading algorithms.

Zipline stands out as a comprehensive Python library specifically tailored for quantitative trading, offering both backtesting and live deployment capabilities with strong integration support.

When it fits — and when it doesn’t

A good fit for

  • Developers building custom quantitative trading algorithms who need a robust Python library for both backtesting and live deployment.

  • Academics and researchers studying financial markets with historical data analysis capabilities.

Look elsewhere if

  • Users looking for a cloud-based service without local setup requirements

  • Projects requiring real-time market data processing outside of the provided integrations

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited support for real-time data streaming

    Integration with live market data feeds is cumbersome and not well-documented

  2. 02

    Small community and limited third-party integrations

    Few active contributors, limited plugins or extensions available compared to more popular frameworks like QuantConnect

What it does well

  • Backtesting capabilities for historical data analysis

  • Live trading algorithm deployment

  • Comprehensive API for building and testing strategies

  • Integration with various financial market data sources

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up zipline

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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