awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
asavinov avatar

asavinov/lambdo

0
View on GitHub↗
26 stars·5 forks·Python·MIT·16 viewslinkedin.com/in/alexandrsavinov↗

Lambdo

Feature engineering and machine learning: together at last!

Features

  • MLOps and Pipelines - Workflow engine for data analysis pipelines.
  • Data Science Tooling - Workflow engine for data analysis pipelines.
  • Data Science Tools - Workflow engine for data analysis pipelines.

Star history

Star history chart for asavinov/lambdoStar history chart for asavinov/lambdo

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI

Frequently asked questions

What does asavinov/lambdo do?

Feature engineering and machine learning: together at last!

What are the main features of asavinov/lambdo?

The main features of asavinov/lambdo are: MLOps and Pipelines, Data Science Tooling, Data Science Tools.

Which projects share features with asavinov/lambdo?

Projects with overlapping indexed features include: dslp/dslp — The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and… iterative/cml — CML is a pipeline automation tool for training and evaluating machine learning models, functioning as a CI/CD system… comet-ml/comet-examples — Examples of Machine Learning code using Comet.ml. comet-ml/comet-llm — Comet LLM is an observability platform and evaluation framework designed for large language model applications and… dslp/dslp-repo-template — Template repository for data science lifecycle project. iterative/dvc — DVC is a data versioning tool and pipeline orchestrator designed to track large datasets and machine learning models.…

Projects sharing features with Lambdo

These projects share indexed features with Lambdo. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • comet-ml/comet-llmcomet-ml avatar

    comet-ml/comet-llm

    19,673View on GitHub↗

    Comet LLM is an observability platform and evaluation framework designed for large language model applications and agentic workflows. It functions as a system for tracing, monitoring, and debugging execution flows while providing tools for prompt optimization and the enforcement of AI safety guardrails. The platform distinguishes itself through a combination of model-based scoring and heuristic metrics to quantify output quality and detect hallucinations. It includes a dedicated prompt and agent optimizer with an interactive playground for refining templates and tool configurations. For retri

    Python
    View on GitHub↗19,673
  • dslp/dslpdslp avatar

    dslp/dslp

    527View on GitHub↗

    The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.

    View on GitHub↗527
  • comet-ml/comet-examplescomet-ml avatar

    comet-ml/comet-examples

    174View on GitHub↗

    Examples of Machine Learning code using Comet.ml

    Jupyter Notebook
    View on GitHub↗174
  • dslp/dslp-repo-templatedslp avatar

    dslp/dslp-repo-template

    202View on GitHub↗

    Template repository for data science lifecycle project

    Python
    View on GitHub↗202
Compare all 30 related projects→