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* feat: add benchmark markers to multiple test cases * test: add performance tests for database initialization and app startup Introduce benchmark tests to measure the performance of database initialization and application startup. This helps ensure efficiency and identify potential bottlenecks in the setup process. * feat: update CodSpeed workflow to enhance test execution and duration tracking * refactor: streamline performance tests for database initialization and app startup * test: enhance app startup performance test with pytest benchmarking * test: update benchmark for database initialization Remove unnecessary benchmark call and simplify the database initialization test to enhance clarity and reliability in performance testing. * chore: remove unnecessary pytest options from CodSpeed workflow * Add environment setup for test_app_startup benchmark test * Add benchmark test for app startup with database setup and flow loading * Add benchmark markers to flow building tests in test_chat_endpoint.py * perf: add benchmarks for service initialization and caching Introduce benchmarks for various service initialization functions and LLM caching to improve performance evaluations. * Remove unused benchmark marker from test function in test_chat_endpoint.py * perf: initialize services in super user benchmark test * Add benchmarking to test_create_starter_projects in performance tests * Add asyncio threading to benchmark tests and remove benchmark fixture usage * Remove database initialization benchmark test from performance suite
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Docs - Free Cloud Service - Self Managed
✨ Core features
- Python-based and agnostic to models, APIs, data sources, or databases.
- Visual IDE for drag-and-drop building and testing of workflows.
- Playground to immediately test and iterate workflows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Free cloud service to get started in minutes with no setup.
- Publish as an API or export as a Python application.
- Observability with LangSmith, LangFuse, or LangWatch integration.
- Enterprise-grade security and scalability with free DataStax Langflow cloud service.
- Customize workflows or create flows entirely just using Python.
- Ecosystem integrations as reusable components for any model, API or database.
📦 Quickstart
- Install with pip (Python 3.10 or greater):
pip install langflow
- Cloud: DataStax Langflow is a hosted environment with zero setup. Sign up for a free account.
- Self-managed: Run Langflow in your environment. Install Langflow to run a local Langflow server, and then use the Quickstart guide to create and execute a flow.
- Hugging Face: Clone the space using this link to create a Langflow workspace.
⭐ Stay up-to-date
Star Langflow on GitHub to be instantly notified of new releases.
👋 Contribute
We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.