Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
- redash
- python
- visualization
- analytics
Repository Index
47,133 repositories indexed
1–24 of 28 · Most stars
The interactive graphing library for Python :sparkles:
the portable Python dataframe library
Koalas: pandas API on Apache Spark
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Lightweight and extensible compatibility layer between dataframe libraries!
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Jupyter magics and kernels for working with remote Spark clusters
Hopsworks - Data-Intensive AI platform with a Feature Store
- feature-store
- aws
- azure
- data-science
📊 Data visualization library for React. Maintained by @goodcodeus.
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
- apache-spark
- big-data
- connected-components
- dataframe
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
Project SnappyData - memory optimized analytics database, based on Apache Spark™ and Apache Geode™. Stream, Transact, Analyze, Predict in one cluster
R interface for Apache Spark
[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...
- benchmarks
- low-latency
- streaming
R frontend for Spark
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
- pandas
- pandas-summary
- dataframes
- data-science
Haskell on Apache Spark.
- apache-spark
- spark
- haskell
- analytics
A pure Python implementation of Apache Spark's RDD and DStream interfaces.
- data-science
- data-processing
- python
- apache-spark
Docker container for Kafka - Spark Streaming - Cassandra
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.