The Most Powerful Software Platform for EHSQ and ESG Management
Addresses the needs of small businesses and large global organizations with thousands of users in multiple locations.
Choose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
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Turn traffic into pipeline and prospects into customers
For account executives and sales engineers looking for a solution to manage their insights and sales data
Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
Collaborative editor, requirements management tool and much more
ARREA (A Reasonable Requirements Engineering Application) is a simple yet powerful requirements management tool that uses arbitrary files to store information and Subversion to allow team collaboration.
Its simple conventions make it suitable for much other purposes. In fact, for any document-oriented tasks focused on collaborative work and exhaustive change and traceability management.
At its heart, ARREA provides a thin layer on top of SVN that allows it to be used as a powerful...
Make AsciiDoc part of your literate programming tool set. With eWEB you can weave and tangle literate programs written as AsciiDoc documents, using embedded WEB code snippets.
Generates syntax highlighted HTML for almost all (including ASP,Aspect-J,AWK,C++,C#,COBOL,CSS,FreeMarker,Groovy,HTML,INI,Java,JavaScript,JSP,Makefile,Pascal,Perl,PHP,PL-SQL,Properties,Python,RTF,Smalltalk,TeX,VBScript,Velocity,XML,XSL) languages.
"Roberge's Used Robot (RUR) : a Python Learning Environment" is a Python implementation of a "robot environment" as introduced by R. Pattis in 1981. **It is obsolete.** See https://github.com/aroberge/rur-ple
AFMS is an Artefact Management System to manage some of the artefacts appearing in the development process of a product. Artefacts are for example requirements, use cases or test cases. AFMS contains an artefact editor and a test execution tool.
Epydoc is a tool for generating API documentation for Python modules,
based on their docstrings. Epydoc supports two output formats (HTML
and PDF), and four markup languages for docstrings (Epytext, Javadoc,
ReStructuredText, and plaintext).
"frogpie" is a visual documentation generation and management framework for python developers. It comes equipped with WYSIWYG documentation editor, browsable documentation viewer and much more.
Plan smart spaces, connect teams, manage assets, and get insights with the leading AI-powered operating system for the built world.
By combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.
Goal of oraschemadoc is to provide detailed documentation for all objects in schema covering Oracle specific features. Result of execution of oraschemadoc is set of static xhtml files. There are more features under development...
Fudge is a documentation system for software projects inspired by Pudge. It is currently targeted at providing integration with current Python software developement tools and internationalization, but support for other programming languages is planned.
A Python tool for creating websites or project documentation. Pages can be stored as reST (text) or html. With a simple templating and macro system it can autogenerate index pages and navigation links. Facilities for multiple translations as well.
Python module and program to extract documentation strings from python functions, classes, and methods and transform them into LaTeX, PDF, HTML, or HTB (wxWidgets help viewer) documents. All file distributions contain compiled help files in PDF and HTB.
Longenis is a simple, powerful object-oriented scripting language incoporating elements of Python, Tcl, Java, and Lua. It is designed to be light, clean, elegant, and cross-platform.
The ULM.gen project is a framework that help building and customizing source-code generators from a UML model expressed as XML documents, using generation templates. It also provides tools for synchronization with UML modelers such as IBM Rational Rose.
wxReSTedit is a cross-platform ReST GUI editor. It is inspired from ReSTedit,a ReStructuredText GUI editor on MAX OS, and aimed to be easier to use than docFactory.
Erc is an interpreted link-oriented language. Majic is a java-based interpreter for Erc, and Majicc is a c++ based compiler for Erc which uses the Majic libraries.
DocLite is a simple documentation authoring system, it produces multi-page HTML output (like this document) in a style similar to that found in the Linux HOTWTOs or other DocBook created documents.
Wenost simplifies the process of building and maintaining larger web sites by hand. Wenost is used in conjunction with PPWizard, a free HTML pre-processor. For examples of websites built with wenost see www.csem.org.uk and the wenost project website.
POST (Python Obviously Simple Text) provides support for
simple, flexible dynamic document generation in multiple output
formats. Supports inputs in text or XML, outputs
in HTML, PDF, RTF, LaTeX source, nroff source, postscript,
and plain text.
Tools for extracting and transforming XML-like mark-up, embedded in source code comments, into proper external entities or well-formed XML files. Can be used for JavaDoc-like "literate programming", or embedding other build-related or CM metadata.