iterative / dvc-dataLinks
DVC's data management subsystem
☆18Updated this week
Alternatives and similar repositories for dvc-data
Users that are interested in dvc-data are comparing it to the libraries listed below
Sorting:
- Benchmarks for DVC☆21Updated this week
- ☆28Updated 2 years ago
- Extremely lightweight compatibility layer between pandas and Polars☆41Updated last year
- ☆18Updated 2 years ago
- Schema for dvc.yaml☆14Updated this week
- Run pytest against markdown files/docstrings.☆120Updated 7 months ago
- 🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.☆148Updated last week
- A collection of self-contained fsspec-based filesystems☆16Updated last week
- The easiest way to integrate Kedro and Great Expectations☆52Updated 2 years ago
- A use case of a reproducible machine learning pipeline using Dask, DVC, and MLflow.☆23Updated 6 years ago
- A mini dashboard to help find slow tests in pytest.☆80Updated 10 months ago
- SCM wrapper and fsspec filesystem for Git for use in DVC.☆22Updated this week
- Synchronicity lets you interoperate with asynchronous Python APIs.☆108Updated this week
- Kedro-Accelerator speeds up pipelines by parallelizing I/O in the background.☆35Updated 3 years ago
- simple, flexible, offline capable, cloud storage with a Python path-like interface☆173Updated last month
- Test suite for Python array API standard compliance☆68Updated 2 weeks ago
- Introduction to Dask for PyTorch Workflows☆13Updated 4 years ago
- Accompanies the uncool MLOps workshop☆26Updated 2 years ago
- Data and tooling to compare the API surfaces of various array libraries.☆54Updated 4 months ago
- Seamlessly integrate numpy arrays into pydantic models.☆58Updated 2 years ago
- Dvc + Streamlit = ❤️☆40Updated last year
- dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.☆59Updated 4 years ago
- Store data created during your `pytest` tests execution, and retrieve it at the end of the session, e.g. for applicative benchmarking pur…☆68Updated 8 months ago
- 📖 Documentation for Nebari☆16Updated 2 weeks ago
- A pytest plugin for regression testing and regenerating Jupyter Notebooks☆52Updated last week
- Cluster tools for running Dask on Databricks☆14Updated last year
- Interactive parametric benchmarks in Python☆17Updated 4 years ago
- A multi-tenant server for securely deploying and managing Dask clusters.☆141Updated last week
- Flat files, flat land.☆26Updated this week
- Use pathlib syntax to easily work with Pandas series containing file paths.☆69Updated 2 years ago