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Full-stack observability with actually useful AI | Grafana Cloud
Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.
Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
Our goal is to find out useful and funny ways for expanding the possibilities of many FOSS by integrating them with other FOSS and proprietary systems. You'll find here many open source plugins and extensions useful to put those FOSS hermits together.
Petaapan is exploring the opportunities that multi-touch displays present. Initially we are looking at tools to support agile development to provide a concrete target for the investigations.
Tikal's open source Application Development & Deployment is comprised of fully integrated suites that cover the entire software life-cycle, include tools for development and deployment of applications, software configuration management and ASQA.
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Uraga aims to create a CPAN like package installation and managementsystem for Python.
Uraga will allow users to download and install Python packages from the Internet by using simple commands. .
This project is an XML oriented Web Framework that relies on python for expansion of XML data into web pages, while keeping code and content sepearted. Coupling this with CSS allows for complete page formatting and styling without touching python code
SuperG is a code library written in Python intended to quickly enable programmers in a scientific environment to manage data files created by dispersed scientific instrumentation.
StreamMine is a distributed event processing (streaming) infrastructure.
You can create low-latency, fault-tolerant stream processing functionality with any stream-oriented operators that can be implemented in Python.
Drupy is a Python implementation of the Drupal content managementsystem. This project is no longer maintained. You can find the original codebase at https://github.com/brendoncrawford/drupy/