Zipline alternatives.
Zipline was important, but it's effectively deprecated and a chore to set up. If you're choosing what to build on next, here's the honest landscape: maintained Python frameworks for backtesting, and a managed platform if you also want paper and live.
Common reasons to move on.
It's deprecated
The original Zipline is no longer actively developed. What's left is community-maintained, which is a real risk for a new system.
Setup is heavy
Data bundles and environment setup are notoriously fiddly. Newer tools are far easier to get running.
You want paper and live
Zipline is a backtesting library. Taking strategies to paper and live means building the execution layer yourself.
You want diagnostics
Operating real runs needs order, fill, position, and log visibility, not just a backtest result.
Where to go instead.
vectorbt
Best for fast, vectorized research and large sweeps.
Actively maintained and built for speed. Great for broad research; vectorized, so mirror real execution before trusting results live.
backtesting.py
Best for simple, quick single-asset backtests.
Lightweight and easy to set up, a clean way to test an idea without Zipline's data-bundle overhead.
Periscøpe
That's usBest for going past the backtest to paper and live.
A managed platform, not just a library: event-driven backtesting plus paper and live on the same Python code, managed compute, and built-in diagnostics, for US equities, ETFs, and futures.
See Periscøpe →Zipline alternatives: questions.
Is Zipline still usable? +
You can still run it via community-maintained forks, and some existing projects do. For a new system, the deprecation and the heavy setup are good reasons to start somewhere else.
What's the easiest migration for backtesting? +
For pure backtesting, vectorbt (vectorized) and backtesting.py (lightweight event-driven) are common, actively maintained choices. If you also want paper and live without building the execution stack, that's a managed platform like Periscøpe.
Can I run the same strategy live on Periscøpe? +
You'd rewrite the strategy against Periscøpe's Python SDK, but from there the same code runs in backtest, paper, and live. Live access is rolled out to select users on request.
Backtest, then keep going.
We onboard in focused cohorts. Tell us what you trade and how you work. Live access is rolled out to select users on request.