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
- donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
29.4K stars
- getredash/redash
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
28.8K stars
- mlflow/mlflow
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
28.2K stars
- yeasy/docker_practice
最新Docker容器技术,从真实案例中学习最佳实践!| Learn and understand Docker&Container technologies, with real DevOps practice!
26.3K stars
- GaiZhenbiao/ChuanhuChatGPT
GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.
15.3K stars
- zhisheng17/flink-learning
flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例,还有 Flink 落地应用的大型项目案例(PVUV、日志存储、百亿数据实时去重、监控告警)分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》
15.1K stars
- aalansehaiyang/technology-talk
【大厂面试专栏】一份Java程序员需要的技术指南,这里有面试题、系统架构、职场锦囊、主流中间件等,让你成为更牛的自己!
14.7K stars
- deeplearning4j/deeplearning4j
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
14.3K stars
- wangzhiwubigdata/God-Of-BigData
专注大数据学习面试,大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...
10.6K stars
- tobymao/sqlglot
Python SQL Parser and Transpiler
9.7K stars
- delta-io/delta
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
9K stars
- mage-ai/mage-ai
🧙 Build, run, and manage data pipelines for integrating and transforming data.
8.8K 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