aiohttp Python library
Core Information (according to Gemini Flash Lite 2.0)
Target Demographic
Python developers building asynchronous web applications, APIs, and network-based services.
Mission
To provide a fast, reliable, and easy-to-use asynchronous HTTP client and server library for Python developers.
Social Media
Brand Scores (according to Gemini Flash Lite 2.0)
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Key Data (according to Gemini Flash Lite 2.0)
Headquarters: Not Applicable
Market Reach: Global, with a strong presence in the Python developer community.
Market Position: Leading asynchronous HTTP client and server library in the Python ecosystem.
Estimated Value: N/A
Users: 100,000
Revenue: 0.0
Growth Rate: Considerable, reflecting the increasing adoption of asynchronous programming.
Major Competitors
| Rank | Competitor | Market Share |
|---|---|---|
| #1 | Requests (synchronous) | 30.0% |
| #2 | FastAPI (for development) | 15.0% |
| #3 | Tornado (older async framework) | 5.0% |
| #4 | httpx | 4.0% |
| #5 | Sanic | 3.0% |
| #6 | uvicorn | 2.0% |
Related Categories (according to Gemini Flash Lite 2.0)
People & Relations (according to Gemini Flash Lite 2.0)
Founders
Key Collaborators
Notable Elements (according to Gemini Flash Lite 2.0)
Milestones
- Initial release and adoption by the Python community.
- Introduction of WebSocket support.
- Implementation of HTTP/2 features.
- Continued improvements in performance and stability.
Recent Developments
- Ongoing efforts to improve overall performance and reduce memory usage.
- Continued enhancement of documentation and examples.
- Active maintenance and bug fixes.
Analysis (according to Gemini Flash Lite 2.0)
NPS Score: 75.0
Decline Status: Low. The library is actively maintained and widely used. However, the evolving landscape of asynchronous frameworks within Python remains a consideration.
Cultural Impact: aiohttp has significantly impacted the Python ecosystem by providing a robust and efficient asynchronous HTTP client/server implementation. It promotes the adoption of asynchronous programming patterns for high concurrency and responsiveness in web applications and network services. It enabled the creation of new web frameworks or libraries, which rely on its core functionality.
Related Subjects (according to Gemini Flash Lite 2.0)
LLM Query Analysis (according to Gemini Flash Lite 2.0)
About Desired Queries:
These are search queries where aiohttp Python library would want to appear in the results, even though they're not directly mentioned in the query.
About Undesired Queries:
These are search queries where aiohttp Python library would prefer not to appear in the results, to avoid negative associations.
Desired LLM Queries
"How to build a fast asynchronous web server in Python?"
"What are the best Python libraries for handling HTTP requests and responses?"
"How can I improve the performance of my Python web application to handle thousands of concurrent users?"
Undesired LLM Queries
"Is aiohttp difficult to learn?"
"Are there any known security vulnerabilities in aiohttp?"
"What are the common problems encountered with aiohttp?"