This repository collects company papers and technical blogs about machine learning in production.
The Best AlexChalakov/awesome-generative-ai-companies Alternatives in 2026
Looking for something like AlexChalakov/awesome-generative-ai-companies? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 15 are open source.
A curated list of Gеnerative AI companies, sorted by focus area and total fundraised amount.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Applied ML | — | Yes | — |
| 2 | Awesome RAG Production | — | Yes | — |
| 3 | Awesome AI Market Maps | — | Yes | — |
| 4 | Stackwise | — | Yes | — |
| 5 | Awesome Machine Learning with Ruby | — | Yes | — |
| 6 | Awesome Core ML Models | — | Yes | iOS, macOS |
| 7 | Awesome TensorFlow | — | Yes | Android |
| 8 | Awesome Community Detection | — | Yes | — |
| 9 | mahseema/awesome-ai-tools | — | Yes | — |
| 10 | Awesome Machine Learning | — | Not stated | — |
All AlexChalakov/awesome-generative-ai-companies alternatives
Awesome RAG Production curates tools, frameworks, and practices for building retrieval-augmented generation systems.
Awesome AI Market Maps collects market maps about AI from 2025 and 2026.
Stackwise collects open-source AI applications and invites community contributions to its project.
This repository collects machine learning resources and tools for the Ruby programming language.
Browse a list of machine learning models for Apple Core ML, collected in this repository.
Awesome TensorFlow lists experiments, libraries, and projects related to TensorFlow.
This collection links community detection research papers and their implementations.
Browse a curated list of artificial intelligence tools in this repository.
Awesome Machine Learning
github.com/josephmisiti/awesome-machine-learningA curated list of machine learning frameworks, libraries, and software maintained in a GitHub repository.
Screenpipe
github.com/mediar-ai/screenpipeScreenpipe records screen activity locally and provides context to AI agents.
Awesome AI Books
github.com/mahseema/aibooksAwesome AI Books curates books about artificial intelligence, machine learning, deep learning, and transformers.
Awesome Federated Learning Systems
github.com/AmberLJC/FLsystem-paper/blob/main/R…This repository curates academic papers and related resources about federated learning systems.
PromptEngineering
github.com/NirDiamant/Prompt_EngineeringThis repository teaches 22 prompt engineering techniques through Jupyter Notebook tutorials.
Awesome AI Models curates links to AI models and large language models.
machine-learning-zoomcamp
github.com/DataTalksClub/machine-learning-zoom…Machine Learning Zoomcamp teaches machine learning engineering through a course and registration materials.
Awesome AI Startups lists independently built AI startups, including bootstrapped, pre-seed, and angel-funded companies.
LocalModelsLinks
rentry.org/LocalModelsLinksLocalModelsLinks collects guides and references for running and tuning language models locally.
ML Resources
ml-resources.vercel.appA collection of machine learning resources for readers exploring the field.
Anthropic maintains this curated directory of plugins for Claude Code users.
A curated list of generative AI tools, projects, models, and references.
A curated list of large language model resources maintained in the Awesome-LLM repository.
Browse Awesome Marketing for a curated selection of marketing tools and resources.
A curated list of AI tools for music composition, generation, and analysis.
Alternatives to similar tools
What is the best alternative to AlexChalakov/awesome-generative-ai-companies?
Is there a free alternative to AlexChalakov/awesome-generative-ai-companies?
Are there open-source alternatives to AlexChalakov/awesome-generative-ai-companies?
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative
























