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pyecharts

Appears in 4 awesome lists

Migrated from Echarts, a charting and visualization library, to Python's interactive visual drawing library.

Open github.compyecharts/pyecharts

Found in these lists

Awesome Dataviz

Section: Python tools · Python binding for Echarts library.

StaleScore 54

Awesome Jupyter

Section: Visualization · Python interface for the ECharts visualization library.

FreshScore 88

awesome-python

Section: Data Science and Analytics · 🎨 Python Echarts Plotting Library

FreshScore 81

Awesome Python Data Science

Section: Interactive plots · Migrated from Echarts, a charting and visualization library, to Python's interactive visual drawing library.

ActiveScore 71

Luigi

Python module for building complex pipelines of batch jobs. Handles dependency resolution, workflow management, visualization, and Hadoop integration. Built at Spotify and battle-tested in production. Apache 2.0 licensed.

In 15 listsDetails

Apache Airflow

"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…

In 13 listsDetails

Dagster

Cloud-native orchestration platform for developing and maintaining data assets including ML models. Declarative programming model with integrated lineage and observability. Apache 2.0 licensed.

In 12 listsDetails

Gradio

Build and share delightful machine learning apps, all in Python. The de facto standard for creating interactive ML demos with automatic UI generation from function signatures. Powers thousands of Hugging Face Spaces.

In 11 listsDetails

Prefect

Workflow management system that makes it easy to take your data pipelines and add semantics like retries, logging, dynamic mapping, caching, failure notifications, and more.

In 11 listsDetails

Redash

🆓 Connect and query your data sources, build dashboards to visualize data and share them with your company. Owned by Databricks but the hosted SaaS shut down in 2021, so the project is now community-maintained under the Databricks org with no paid Redash product.

In 11 listsDetails

Streamlit

The fastest way to build and share data apps. Transform Python scripts into beautiful web applications with minimal code. Widely used for ML model demos, data visualization, and internal tools.

In 10 listsDetails

Pandas

(label: good first issue) Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

In 9 listsDetails