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Choose Python research and backtesting engines for the task

A Python-focused desktop IDE with project management, debugging, code checks, and an extensible plug-in system.

A Python IDE for creating, running, and debugging projects, notebooks, and data applications.

Develop Python strategies with graphical backtesting and market gateways

Edit Python modules in a desktop window, run them in an interactive shell, and debug them with built-in tools.

Test entry and exit rules against historical price bars

A browser-based Python environment paired with managed web-app hosting.

Develop Python in a project-aware desktop IDE with a debugger, test runner, and optional coding-agent tools.

An interactive Python IDE that pairs a source editor with a shell and introspection tools.

Validate Python data against typed models and generate matching JSON Schema.

Build interactive Python applications for the terminal with widgets, CSS, and keyboard bindings.

Manage Python projects, dependencies, environments, and commands with one fast command-line tool.

Combine Python expressions and shell commands in one Python-based command prompt.

Maintain event-driven Python backtests with the Zipline research model

Research and backtest quantitative strategies in notebooks and code

Study an exploratory Python engine for historical equities tests

Compare options history with the risks of current positions

A reactive Python notebook editor that saves notebooks as ordinary Python files.

A beginner-focused Python IDE that makes variables and program execution visible while you learn.

Run Python programs and isolate project packages with the official CPython interpreter.

Load, reshape, and analyze labeled tabular and time-series data with Python.

A Python and R IDE that pairs script and notebook editing with live data exploration tools.

Build historical market simulations with configurable orders and costs

Manage Python project dependencies, virtual environments, and package metadata from `pyproject.toml`.