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Amazon SageMaker – A cloud-based ML platform with JupyterLab and terminal access. The free tier includes 8 hours of CPU (max 4 hours per session) or 4 hours of GPU per day.
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Harshit Shrivastav 2025-03-11 15:34:02 +05:30 committed by GitHub
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@ -383,6 +383,7 @@ This list results from Pull Requests, reviews, ideas, and work done by 1600+ peo
* [Composio](https://composio.dev/) - Integration platform for AI Agents and LLMs. Integrate over 200+ tools across the agentic internet.
* [WeatherXu](https://weatherxu.com/) — Global weather data including current conditions, hourly and daily forecasts, and weather alerts via our API. Integrating AI models and ML systems to analyze and combine multiple weather models to deliver improved forecast accuracy. Free tier includes 10,000 API calls/month.
* [Zuplo](https://zuplo.com/) - Free API Management platform to design, build, and deploy APIs to the Edge. Add API Key authentication, rate limiting, developer documentation and Monetization to any API in minutes. OpenAPI-native and fully-programmable with web standard apis & Typescript. The free plan offers up to 10 projects, unlimited production edge environments, 250 API keys, 100K monthly requests, and 1GB egress.
* [Amazon SageMaker](https://studiolab.sagemaker.aws/) — A cloud-based ML platform with JupyterLab and terminal access. The free tier includes 8 hours of CPU (max 4 hours per session) or 4 hours of GPU per day.
**[⬆️ Back to Top](#table-of-contents)**