Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
68c36c415e* feat(component): enhance merge data with standard operations - Add standard merge operations (concatenate, append, merge, join) - Add operation selection via dropdown - Return DataFrame output type - Implement separate merge strategies * style(component): improve merge data formatting - Add MIN_INPUTS_REQUIRED constant - Use descriptive DataFrame variable names - Move return statement to else block - Use list comprehension for better performance - Fix unused loop variable - Improve overall code formatting * [autofix.ci] apply automated fixes * Update src/backend/base/langflow/components/processing/merge_data.py Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> * refactor: adjust merge_data operations to use langflow.schema.DataFrame * Update Merge Data component name and description * [autofix.ci] apply automated fixes * refactor: enhance data merging logic in DataMergerComponent - Improved type hinting for combined data structures to enhance code clarity. - Streamlined the concatenation and merging operations to ensure consistent handling of string and object types. - Updated the logic to correctly append values to lists when merging data inputs, improving data integrity in the merging process. * revert merge data changes * add data merger component * refactor: remove DataMergerComponent and clean up imports - Deleted the DataMergerComponent to streamline the processing components. - Updated the __init__.py file to reflect the removal of the DataMergerComponent from the exports. * refactor: enhance MergeDataComponent with new merge operations - Introduced a new enum, MergeOperation, to define various data merging strategies: CONCATENATE, APPEND, MERGE, and JOIN. - Updated the merge_data method to return a DataFrame instead of a list of Data objects, improving data handling. - Enhanced input validation to ensure a minimum number of data inputs are provided. - Streamlined the merging logic to support different operations, improving flexibility and usability of the component. --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> |
||
|---|---|---|
| .devcontainer | ||
| .github | ||
| .vscode | ||
| deploy | ||
| docker | ||
| docker_example | ||
| docs | ||
| scripts | ||
| src | ||
| test-results | ||
| .env.example | ||
| .eslintrc.json | ||
| .gitattributes | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| DEVELOPMENT.md | ||
| eslint.config.js | ||
| LICENSE | ||
| Makefile | ||
| pyproject.toml | ||
| README.ES.md | ||
| README.FR.md | ||
| README.ja.md | ||
| README.KR.md | ||
| README.md | ||
| README.PT.md | ||
| README.zh_CN.md | ||
| render.yaml | ||
| uv.lock | ||
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 uv (recommended) (Python 3.10 to 3.12):
uv pip install langflow
- Install with pip (Python 3.10 to 3.12):
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.