Interactive tools and developer experiences for Big Data on Google Cloud Platform.
☆978Sep 2, 2022Updated 3 years ago
Alternatives and similar repositories for datalab
Users that are interested in datalab are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Google Datalab Library☆193Sep 2, 2022Updated 3 years ago
- Google Cloud Datalab samples and documentation☆337Sep 2, 2022Updated 3 years ago
- Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.☆163May 31, 2017Updated 9 years ago
- Google BigQuery support for Spark, SQL, and DataFrames☆156Dec 14, 2019Updated 6 years ago
- Google Cloud Client Libraries for Python☆5,374Updated this week
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Visualizations for machine learning datasets☆7,341May 24, 2023Updated 3 years ago
- Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning☆3,168Aug 30, 2021Updated 4 years ago
- Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.☆848Nov 25, 2020Updated 5 years ago
- Run in all nodes of your cluster before the cluster starts - lets you customize your cluster☆597Jul 26, 2026Updated 3 weeks ago
- Beaker Extensions for Jupyter Notebook☆2,895Dec 4, 2023Updated 2 years ago
- ☆54Aug 3, 2017Updated 9 years ago
- Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow☆2,756Dec 8, 2025Updated 8 months ago
- Ready-to-run Docker images containing Jupyter applications☆8,456Updated this week
- Unofficial Google R packages. These are a collection of Google API R packages auto-generated by googleAuthR v0.5☆25Mar 5, 2017Updated 9 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Google drive for jupyter notebooks☆421Mar 27, 2020Updated 6 years ago
- reproducible executable environments☆444Oct 27, 2017Updated 8 years ago
- The old electron based nteract notebook☆6,248Dec 30, 2023Updated 2 years ago
- scalable analysis of images and time series☆823Jan 6, 2017Updated 9 years ago
- Simplifying robust end-to-end machine learning on Apache Spark.☆473Apr 18, 2017Updated 9 years ago
- Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples☆1,549Dec 17, 2021Updated 4 years ago
- A next-generation curated knowledge sharing platform for data scientists and other technical professions.☆5,539Sep 4, 2024Updated last year
- Machine Learning Toolkit for Kubernetes☆15,816Jul 10, 2026Updated last month
- Analysis examples based on the ISB-CGC hosted TCGA data, using Python and IPython Notebooks.☆54Jul 20, 2019Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- JupyterLab computational environment.☆15,255Updated this week
- Replicates data between Google Cloud BigQuery projects☆22Jul 13, 2016Updated 10 years ago
- Jupyter Content Management Extensions☆78Jun 11, 2018Updated 8 years ago
- Multi-user server for Jupyter notebooks☆8,329Updated this week
- [RETIRED] See Voilà as a supported replacement☆976Oct 26, 2019Updated 6 years ago
- A data science IDE for Python☆3,893Apr 16, 2018Updated 8 years ago
- QueryIt Smart is the demonstration application for BigQuery & Cloud Machine Learning.☆85Aug 10, 2026Updated last week
- Input pipeline framework☆988Updated this week
- Tools for diffing and merging of Jupyter notebooks.☆2,839Jun 10, 2026Updated 2 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Data-Centric Pipelines and Data Versioning☆6,304Feb 3, 2025Updated last year
- Deploy dask-distributed on google container engine using kubernetes☆40Apr 15, 2019Updated 7 years ago
- Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, vis…☆18,763Jul 18, 2026Updated 3 weeks ago
- kubernetes setup to bootstrap distributed on google container engine☆66Jun 14, 2019Updated 7 years ago
- Apache Beam is a unified programming model for Batch and Streaming data processing.☆8,645Updated this week
- Install JupyterHub on Google Cloud☆17Aug 7, 2017Updated 9 years ago
- This library has moved to https://github.com/googleapis/google-cloud-python/tree/main/packages/pandas-gbq☆489Mar 13, 2026Updated 5 months ago