Technology · Framework
Apache Spark
Framework · Catalog tech@1
Engine for large-scale data processing.
- Categories
- Matched as
- apache spark
- pyspark
- spark
Momentum
Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works
Momentum
Collecting0 of 5 signalsNo score yet. Momentum is published only when at least 2 of the 5 signals have history. Apache Spark has 0, so there is no single number: each signal is shown on its own below. It is not a zero, and nothing is estimated in its place.
Snapshot OCT 24, 2026 · Scoring tech@1
- Official repository stars
- Collecting
- Star growth needs repository snapshots 30 days apart.44,109 stars now
- Member repository stars
- Collecting
- Star growth needs repository snapshots 30 days apart.0 new members in 30 days
- Package adoption
- Not published by its registries
- Its packages’ registries publish no adoption figure, so there is nothing to grow.
- Open models
- No official models
- No official model on Hugging Face, so this signal does not apply.
- News
- Collecting
- News counts once there are 3 events across the last 60 days; it has 1.1 in the last 30 days · 0 in the 30 before
Adoption by registry
The growth of Apache Spark’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.
No registry has two observations of Apache Spark’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.
News activity
- Events · 7 days
- 1published events that mention it
- Events · 30 days
- 1published events that mention it
- Previous 30 days
- 0events in the 30 days before
Momentum history
Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.
Repositories
Official 1
- apache/spark
Apache Spark - A unified analytics engine for large-scale data processing
44.1K stars
Members 95repositories tagged with one of its aliases, most-starred first
- narwhals-dev/narwhals
Lightweight and extensible compatibility layer between dataframe libraries!
1.7K stars
- strapdata/elassandra
Elassandra = Elasticsearch + Apache Cassandra
1.7K stars
- almond-sh/almond
A Scala kernel for Jupyter
1.6K stars
- maxpumperla/elephas
Distributed Deep learning with Keras & Spark
1.6K stars
- japila-books/apache-spark-internals
The Internals of Apache Spark
1.6K stars
- combust/mleap
MLeap: Deploy ML Pipelines to Production
1.5K stars
- san089/goodreads_etl_pipeline
An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.
1.5K stars
- hi-primus/optimus
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
1.5K stars
- projectnessie/nessie
Nessie: Transactional Catalog for Data Lakes with Git-like semantics
1.5K stars
- SeldonIO/seldon-server
Machine Learning Platform and Recommendation Engine built on Kubernetes
1.5K stars
- apache/carbondata
High performance data store solution
1.5K stars
- databricks/LearningSparkV2
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
1.4K stars
Packages
“Is” packages are Apache Spark itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.
Is 3the technology itself, most-adopted first
- pyspark
Apache Spark Python API
Not published by PyPI - pyspark-client
Python Spark Connect client for Apache Spark
Not published by PyPI - pyspark-connect
Apache Spark Python API with Spark Connect by default
Not published by PyPI
Ecosystem 15packages that depend on it, most-adopted first
- semantic-link-sempy
Semantic link for Microsoft Fabric
Not published by PyPI - Not published by PyPI
- tinsel
PySpark schema generator
Not published by PyPI
Latest news the latest event that mention it
- 3d agoOCT 21, 2026