NumPy
The fundamental package for scientific computing with Python. (by numpy)
fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production (by fastapi)
| NumPy | fastapi | |
|---|---|---|
| 310 | 573 | |
| 31,038 | 93,326 | |
| 1.0% | 2.0% | |
| 10.0 | 9.8 | |
| 4 days ago | 1 day ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
NumPy
Posts with mentions or reviews of NumPy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-11-25.
- Python is not a great language for data science. Part 1: The experience
- Choosing Tech Stack in 2025: A Practical Guide
Unmatched integration with ML/AI ecosystems through NumPy, TensorFlow, and PyTorch
- What Dynamic Typing Is For
- Bringing NumPy's type-completeness score to nearly 90% – Pyrefly
> Let’s take a pause here for a second - the ‘CanIndex’ and ‘SupportsIndex’ from the looks are just “int”.
The PR for the change is https://github.com/numpy/numpy/pull/28913 - The details of files changed[0] shows the change was made in 'numpy/__init__.pyi'. Looking at the whole file[1] shows SupportsIndex is being imported from the standard library's typing module[2].
Where are you seeing SupportsIndex being defined as an int?
> I have a hard time dealing with these custom types because they are so obscure.
SupportsIndex is obscure, I agree, but it's not a custom type. It's defined in stdlib's typing module[2], and was added in Python 3.8.
[0]: https://github.com/numpy/numpy/pull/28913/files
[1]: https://github.com/charris/numpy/blob/c906f847f8ebfe0adec896...
[2]: https://docs.python.org/3/library/typing.html#typing.Support...
- Don’t Let Cyber Risk Kill Your GenAI Vibe: A Developer’s Guide
Know (or check) tells of older versions, such as the python sdk of OpenAI changing from a client with global state in v0.x.x, to a declared instance in v1.x.x, or numpy's change in how random generators are declared.
- Top 5 GitHub Repositories for Data Science in 2026
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A…
- Your 2025 Roadmap to Becoming an AI Engineer for Free for Vue.js Developers
AI starts with math and coding. You don’t need a PhD—just high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI, thanks to tools like TensorFlow and NumPy. If you know JavaScript from Vue.js, Python’s syntax is straightforward.
- Top 17 Tools for Scientific Simulation & Modeling
- Release v2.3.0 (June 7, 2025) · NumPy/NumPy
- How to Get Started with Scikit-Learn: A Beginner-Friendly Guide to Machine Learning in Python
As is the case with most Python libraries, it is open-source and free-to-use, making it easily accessible by anyone willing to learn machine learning, and it is built upon other open-source libraries within Python, like SciPy for advanced scientific operations, NumPy for efficient numerical computations, Matplotlib for data visualization, and Cython for increased efficiency and speed, similar to that of C/C++.
fastapi
Posts with mentions or reviews of fastapi. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-11-27.
- Observability Practices: Implementing Real-World Monitoring With Python and Prometheus
FastAPI – https://fastapi.tiangolo.com
- 2026: The average developer's year disappears and the most will struggle
Modern Python backend framework for building real, portfolio-ready projects fast. https://fastapi.tiangolo.com
- Building a Production-Multi-Cloud DevOps Platform: A Complete Journey from Zero to Hero
Documentation Files Setup Guide Deployment Guide Access Guide Cost Optimization Monitoring Setup Technologies Used FastAPI Documentation Terraform AWS Provider Terraform Azure Provider Helm Documentation Kubernetes Documentation Prometheus Documentation Grafana Documentation Tools & Security Trivy Scanner Checkov IaC Scanner GitHub Actions Connect With Me I’d love to hear your feedback, questions, or suggestions!
- Go Microservices for AI/ML Orchestration
FastAPI for Python Model Serving
- Python Design Patterns for Clean Architecture
FastAPI Official Docs
- Show HN: FastAPI LSP/VSCode Extension POC
- Teaching AI to Take Initiative – Building a Self-Thinking App with LangGraph and Ollama
FastAPI – Lightning-fast web APIs
- The AI-Native GraphDB + GraphRAG + Graph Memory Landscape & Market Catalog
FastAPI - fastapi.tiangolo.com/
- Choosing Tech Stack in 2025: A Practical Guide
Python's renaissance in web development comes from FastAPI - my personal favorite nowadays - which brings modern async capabilities and automatic API documentation through Pydantic models. The framework feels designed for 2025, with type hints throughout and excellent developer experience. If your application needs to integrate with machine learning models, data processing pipelines, or scientific computing libraries, Python is often the only practical choice.
- Node.js vs Python: Real Benchmarks, Performance Insights, and Scalability Analysis
Node.js is 40–60% faster in handling concurrent connections than Python due to its non-blocking I/O. Python, on the other hand, can outperform Node in CPU-bound computation only when optimized with C extensions or async frameworks like asyncio or FastAPI (FastAPI Docs).
What are some alternatives?
When comparing NumPy and fastapi you can also consider the following projects:
mitmproxy - An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
SymPy - A computer algebra system written in pure Python
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Flask - The Python micro framework for building web applications.