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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.
TORCH is a web enabled electronic health record (EHR) application. TORCH is usable in single practitioner offices and scalable up to multi-site practices.
Dowser is a research tool for the web. It clusters results from search engines, associates words that appear in previous searches, and keeps a local cache of all the results you click on in a searchable database. It helps you keep track of what you find.
Picsart Enterprise Background Removal API for Stunning eCommerce Visuals
Instantly remove the background from your images in just one click.
With our Remove Background API tool, you can access the transformative capabilities of automation , which will allow you to turn any photo asset into compelling product imagery. With elevated visuals quality on your digital platforms, you can captivate your audience, and therefore achieve higher engagement and sales.
Amplicon is a Python script for designing PCR primer sets. Amplicon is written in Python 2.3 and Tkinter 8.4. The current script was created for Windows and an executable is available. Future versions of the script should be able to run on Linux and Mac
Retic is a free EAI Server written in Jython (Java).
It permits to execute adaptors composed of sources, pipes (transformations) and sinks.
Connectivity with : JMS,HTTP,SOAP,UDDI,FTP,Xindice,JDBC,Jabber,SMTP...
XML Support : XSLT, Xpath.
Has GUI for
Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Rana, Restriction Analysis Libraries.
Rana is written in Python and provides a set of libraries and scripts to work with restriction enzymes and ADN. The aim is to ease the development of molecular biology software for research or education purposes.
FXPyTurns-n-Layers is a graphical transformer and induction coil design aid. The application performs the physical design of the coils for transformer and induction coils to determine: the length/weight of wire required to wind a coil with the specified
boost_graph tried to wrap the C++ Boost Graph library in Python, providing graph algorithms like Breadth First Search, DFS, Shortest Path, Topological sort. This project is dead (http://bayleshanks.com/pamv1)
A Python interface to the Wordnet database of word meanings and lexical relationships. allows the user to type expressions such as N['dog'], hyponyms(N['dog'][0]), and closure(ADJ['red'], SYNONYM) to query the database for lexical relationships.
PyExp is a Python framework to develop programs driving physical experiments, dealing with Physical Elements in the high layer and translating this into actions on devices or groups of devices on the low layer.
Latex editor with document structure tree view and project handling. Latex output allows direct jump to warnings/errors. Projects folders gives support for figures/graphs. Editor component includes usual features like search/replace and syntax highlight.
SDL REFLEX is the micro kernel of a real time operating system for the AVR microcontroller family. The kernel is especially designed to implement systems described in SDL The Specification and Description Language . Compiler GNU ANSI-C for AVR v.3.3
This project provides a library written in Python for reading and eventually writing ISO8211 files. ISO8211 is a format used for various GIS systems (geographic data), including SDTS, the format used by the US Geological Survey.
Net.py is a tool for learning about neural nets. Currently, it only allows the user to experiment with a Hopfield net. I am now extending it to cover the Kohonen net. I'd be pleased to receive suggestions and criticism.