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An engineering programming environment for developing algorithms, analyzing data, and visualizing results.

Open-source Python library that turns long videos into clips and reframes them to 9:16.

Run GitHub Actions-compatible workflows on Depot compute with local-run and job-debugging tools.

Edit plain-text and source files on macOS with syntax highlighting, encoding tools, scripting, and regex search.

An integrated development environment for building desktop, web, and mobile applications with the Xojo language.

A cross-platform Free Pascal IDE with a visual form designer and integrated build and debug tools.

Find production performance bottlenecks in PHP and Python applications, then inspect the responsible code paths.

Build machine learning apps in Python

Run event- or API-triggered functions with automatic scaling and pay-per-use billing on Huawei Cloud.

Build domain-specific languages with a projectional editor, language tools, and code generators.

Develop Java and Kotlin projects in JetBrains’ cross-platform integrated development environment.

A desktop IDE with a source-first editor and a separate AI-led task workflow.

Edit code, run project tasks, debug, use Git, and preview web work in a Mac-native IDE.

A native macOS code editor with project tools, Git integration, and an extension system under active development.

A project-based IDE for writing and running R-centered data work, with support for Python scripts and documents.

A persistent cloud VS Code workspace with a Linux container, terminal, debugger, and ready-made project templates.

An immersive Smalltalk environment where a live image, code tools, and debugger support immediate feedback.

Use one Python interface for several established colour-palette collections.

Calculate returns, portfolio statistics and allocation weights in Python

Build Python web applications by pairing a small request-and-route core with the extensions your project needs.

Test entry and exit rules against historical price bars

Maintain event-driven Python backtests with the Zipline research model

Develop Python strategies with graphical backtesting and market gateways

Assemble portfolio backtests from reusable Python rules