Transform your applications and workflows into powerful agentic systems at global scale.
Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
Get Started Free
Our Free Plans just got better! | Auth0
With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
This is sister project for osDQ which provide Restful APIs
(Beta Version)
This is sister project for https://sourceforge.net/projects/dataquality/ . It provides Restful APIs for features for data quality and data preparation features. This project will help projects which want embed data quality and data preparation features in their project or UI using restful calls.
Data Cleansing APIs
Dockerfile:
# Pull base image
FROM frnde/jetty-9.4.2-jre8-alpine-cet
ADD osdq-v0.0.1.war /var/lib/jetty/webapps/osdq.war
EXPOSE 8080
Docker...
VisualMon is a concise dashboard for Java web applications, it shows statistics gathered by JAMon, reduced to the data relevant to the concrete web application and with a visually pleasant appearance.
Rapidlogix is an open source application performance management tool optimized for distributed production environments. It allows to increase time-to-market of performance improvements and prevent performance regression
Free Java monitoring library to easily instrument apps to measure performance detail over time with minimal overhead. Has dashboard, SVG graphs. Extends Jamon and its statistical data, same usage. http://www.e-peas.com/opensla/. JMX, SNMP planned.
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.