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Gemini 3 and 200+ AI Models on One Platform
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KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.
MvpdMake is a GUI wrapper around mplayer, mencoder, sox, and mv_encoder to convert video files to the MoviePod (.mvpd) video format to be played by mv_player under iPodLinux on your iPod Nano, iPod Mini or iPod Photo.
A client-side blog tool written in Python. It features categories, auto-ftp, three different markups for entries supported, archives and rss feeds auto-generated, flexible templating and macro system. Plugin system with emailer, spell checker, etc.
AI-powered service management for IT and enterprise teams
Enterprise-grade ITSM, for every business
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XSDB XML is to DATA as HTML is to DOCUMENT. Publish and combine data as easily as HTML format and web browsers publish and view documents. Implementations in Python, javascript, java, C#/.NET.
A python program that implements the SMPP protocol and can connect to a Short Message Service Center (SMS-C) or other SMPP compliant software over a network. Generally used for sending and receiving of SMS.
A cgi program written in Python that turns HTTP GET and POST queries into SQL queries, runs them, turns the results into XML, and then returns the XML as the response to the HTTP query. It also supports returning a single BLOB as the whole response.
pyXLReader is a multiplatform Python library for reading Excel compatible spreadsheets (.xls). Based on JExcelApi by Andy Khan (http://www.andykhan.com).
wxBrowser is an application browser based on the wxWidgets GUI framework. It's similar to a regular old web browser only, instead of reading HTML and displaying content it reads XML and executes presentation logic (wxPython) in a client side application.
Auth0 Token Vault handles secure token storage, exchange, and refresh for external providers so you don't have to build it yourself.
Rolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
json.py is an implementation of a JSON (http://json.org) reader and writer in Python. jsontests.py are unit tests demonstrating the correctness of the implementation.
A Python program to deduce the DTD from a set of related XML files. It may not be 100% automatic but easies up the initial step before manual adjusting. The number of documents can be huge, like 100k.
CryptoPy is a pure python implmentation of cryptographic algorithms and applications. The algorithms are developed for readability more than speed. The collection now includes IEEE 802.11i specific algorithms that generated the test vectors for 802.11i.
FEVal, the Finite Element Evaluator written in Python, provides easy conversion for many Finite Element data formats (both binary and ascii). Mesh modification is very easy. Values of model results can be accessed given coordinates in physical space.
pyModeliXe is a Python template engine. Designers will appreciate its Dreamweaver support, and its XML compliant templates. Developers will be pleased about its plug-ins system, error management and the template cache.
WebPath is an experimental implementation of XPath 2.0 in Python, initially developed during Yahoo! Hack Day. It uses a novel parsing technique called Top Down Operator Precedence. Seeking developers to improve implementation and conformance.
Das Projekt ist nach Github umgezogen, weil ich mit der Politik von SF.net nicht einverstanden bin.
Der LaTeX-Assistant hilft das Grundgerüst einer LaTeX-Datei zusammenzustellen. --- The LaTeX-Assistant assists on creating the basic structure of a LaTeX file.
Lightweight Python 2D table object with column headers
For 2D data objects in Python, you have 3 main options:
- Numpy Array
- Pandas DataFrame (built on np.array)
- SQL table
Numpy and Pandas are great for working with a complete set of data, but not very efficient for building up row by row.
SQL is good for building up the object row by row, but you have to write SQL and leave the world of Python objects.
PySimpleTable tries to find the middle ground with more flexibility than Numpy or Pandas for incrementally building a 2D object...