AI-powered service management for IT and enterprise teams
Enterprise-grade ITSM, for every business
Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
Try it Free
Build Agents and Models on One Platform
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Data quality analysis, profiling, cleansing, duplicate detection +more
DataCleaner is a data quality analysis application and a solution platform for DQ solutions. It's core is a strong data profiling engine, which is extensible and thereby adds data cleansing, transformations, enrichment, deduplication, matching and merging.
Website: http://datacleaner.github.io
With this Tool you can easily monitor the Replication of two MySQL-Database-Servers. It features global Overviews, Differences-Analysis for Databases and Tables, including Rowcounts, Sizes and Checksums.
Written in PHP with mysqli Extension Functions.
Planned Features:
- Manage Masters/Slaves
- Fix Replication Errors
- Databasedumps for Download
Questions? Contact me: steffen[at]php-works.net
RDMS is designed to enable accurate evaluations and assessments of research papers, either on an individual, institutional, or larger public multi-institutional instances, for aid with research projects such as PhD and post-doctoral work.
GDS is a project to check generic measured earth science data. It is also an interactive database management system to store all data in MySQL-DB. GDS rules as project based management system with unlimited stations. Each station manages 20 sensors.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.