stitchfix / hamilton
A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
☆863Updated last year
Related projects ⓘ
Alternatives and complementary repositories for hamilton
- Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metada…☆1,874Updated this week
- A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rew…☆2,013Updated last month
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆497Updated last month
- An open-source ML pipeline development platform☆974Updated last month
- Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two line…☆663Updated 6 months ago
- Build and share data reports in 100% Python☆1,381Updated last year
- Making data lake work for time series☆1,139Updated 3 months ago
- UnionML: the easiest way to build and deploy machine learning microservices☆337Updated last year
- What's in your data? Extract schema, statistics and entities from datasets☆1,434Updated last week
- Type System for Data Analysis in Python☆209Updated 3 months ago
- ☆295Updated 3 weeks ago
- The Virtual Feature Store. Turn your existing data infrastructure into a feature store.☆1,818Updated this week
- Scalable identity resolution, entity resolution, data mastering and deduplication using ML☆957Updated this week
- do more with dbt. dbt-fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning m…☆853Updated 7 months ago
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆375Updated 6 months ago
- Malloy is an experimental language for describing data relationships and transformations.☆1,996Updated this week
- BuildFlow, is an open source framework for building large scale systems using Python. All you need to do is describe where your input is …☆193Updated 10 months ago
- ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes☆290Updated 2 months ago
- Open source data observability platform☆320Updated 2 years ago
- Visualise your Kedro data and machine-learning pipelines and track your experiments.☆679Updated this week
- Better SQL in Jupyter. 📊☆723Updated last week
- MetricFlow allows you to define, build, and maintain metrics in code.☆1,146Updated this week
- 🏃♀️ Minimalist alternative to dbt☆215Updated this week
- Rill is a tool for effortlessly transforming data sets into powerful, opinionated dashboards using SQL. BI-as-code.☆1,727Updated this week
- Serverside scaling for Vega and Altair visualizations☆331Updated this week
- Distributed SQL Engine in Python using Dask☆397Updated 2 months ago
- ML pipeline orchestration and model deployments on Kubernetes.☆435Updated last year
- The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️☆3,511Updated 2 months ago
- A light-weight, flexible, and expressive statistical data testing library☆3,401Updated this week