sematic-ai / sematic
An open-source ML pipeline development platform
☆986Updated 2 months ago
Alternatives and similar repositories for sematic:
Users that are interested in sematic are comparing it to the libraries listed below
- A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton☆863Updated last year
- The simplest way to serve AI/ML models in production☆961Updated this week
- ☆301Updated last month
- 🦘 Explore multimedia datasets at scale☆1,055Updated 3 months ago
- UnionML: the easiest way to build and deploy machine learning microservices☆336Updated last year
- The Virtual Feature Store. Turn your existing data infrastructure into a feature store.☆1,856Updated this week
- Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metada…☆2,045Updated last week
- Open-source natural language enrichments at your fingertips.☆457Updated 2 months ago
- Distributed data engine for Python/SQL designed for the cloud, powered by Rust☆2,610Updated this week
- A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rew…☆2,047Updated 5 months ago
- Database replication platform that leverages change data capture. Stream production data from databases to your data warehouse (Snowflake…☆635Updated this week
- Fast model deployment on any cloud 🚀☆175Updated last year
- Making data lake work for time series☆1,156Updated 6 months ago
- ZenML 🙏: The bridge between ML and Ops. https://zenml.io.☆4,450Updated this week
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆718Updated last year
- What's in your data? Extract schema, statistics and entities from datasets☆1,465Updated this week
- Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two line…☆666Updated 2 weeks ago
- dstack is a lightweight, open-source alternative to Kubernetes & Slurm, simplifying AI container orchestration with multi-cloud & on-prem…☆1,729Updated this week
- Open source data observability platform☆322Updated 2 years ago
- A tiny nearest-neighbor embedding database built with SQLite and Pytorch. (In development!)☆769Updated last year
- Chronon is a data platform for serving for AI/ML applications.☆781Updated this week
- The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact…☆1,427Updated 3 months ago
- Hopsworks - Data-Intensive AI platform with a Feature Store☆1,207Updated last month
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆5,821Updated this week
- VectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of y…☆689Updated 9 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…☆386Updated last month
- A single API for product integrations☆606Updated last year
- A reactive Python kernel for Jupyter notebooks.☆1,199Updated this week
- ML pipeline orchestration and model deployments on Kubernetes.☆436Updated last year
- Blazing fast framework for fine-tuning similarity learning models☆656Updated 2 months ago