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tensorchord avatar

tensorchord/envd

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View on GitHub↗
2,211 stars·169 forks·Go·Apache-2.0·7 viewsenvd.tensorchord.ai↗

Envd

🏕️ Reproducible development environment for humans and agents

Features

  • Machine Learning Platform - Development environment for ML engineering teams.
  • MLOps and Pipelines - Containerized development environments for ML.
  • Training and Orchestration - Development environment manager for AI and ML engineering.
  • Data Science Tooling - Containerized development environments for ML.
  • Data Science Tools - Development environment for ML engineering teams.
  • Development Environments - Creates reproducible development environments specifically for AI and ML.
  • Experimentation Tracking - Automates the setup of machine learning development environments.

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Open-source alternatives to Envd

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See all 30 alternatives to Envd→

Frequently asked questions

What does tensorchord/envd do?

🏕️ Reproducible development environment for humans and agents

What are the main features of tensorchord/envd?

The main features of tensorchord/envd are: Machine Learning Platform, MLOps and Pipelines, Training and Orchestration, Data Science Tooling, Data Science Tools, Development Environments, Experimentation Tracking.

What are some open-source alternatives to tensorchord/envd?

Open-source alternatives to tensorchord/envd include: ml-tooling/ml-workspace — 🛠 All-in-one web-based IDE specialized for machine learning and data science. iterative/dvc — DVC is a data versioning tool and pipeline orchestrator designed to track large datasets and machine learning models.… iterative/cml — CML is a pipeline automation tool for training and evaluating machine learning models, functioning as a CI/CD system… dslp/dslp-repo-template — Template repository for data science lifecycle project. dslp/dslp — The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and… comet-ml/comet-examples — Examples of Machine Learning code using Comet.ml.