Search Results for "data capture framework" - Page 21
Sort By:
Showing 557 open source projects for "data capture framework"
View related business solutions-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
-
1
-
2
XUProxy is an extensible multi-protocol proxy based on the Twisted framework. It supports multiple protocol plugins (currently only HTTP), and multiple "filter" plugins for things like logging, caching, and Proxomitron-compatible ad filtering.
-
3
Addons to the Django Framework for mobile clients. MoGo was originally built to handle JP specific issues, but code to handle other locales are welcome as well. Developed and maintained by MARIMORE Inc http://www.marimore.co.jp THIS PROJECT HAS MOVED TO https://github.com/marimore/mobiledjango
-
4
Python script that plots access points from Inssider GPX wardrive capture to an html file displaying a Google map. Useful if you care about WPA and WPA2 data instead of just plain old WEP...
-
Earn up to 16% annual interest with Nexo.Put idle assets to work with competitive interest rates, borrow without selling, and trade with precision. All in one platform. Geographic restrictions, eligibility, and terms apply.
-
5
now here: https://github.com/plastex/plastex plasTeX is a Python-based LaTeX document processing framework. It gives DOM-like access to a LaTeX document, as well as the ability to generate mulitple output formats (e.g. HTML, DocBook, tBook, etc.).
-
6
This is intended to ease the development of web applications using CherryPy (web server) and Elixir (DB access) with python. It will contain structures to easily setup the database structure and populate with data, and to configure the server
-
7
PyQwt = FAST and EASY data plotting for Numerical Python and PyQt. PyQwt is a Python wrapper for the Qwt C++ class library which extends the Qt framework with widgets to display and control data for scientific and engineering applications. Please note: We moved RCS, future releases, BUGS to https://github.com/PyQwt
-
8
-
9
VizStack is a framework to run GPU-enabled applications. You may set up tiled displays, and run popular applications on them. VizStack can convert nodes into a shared remote visualization farm. Individual GPUs can be allocated to users too.
-
Build Securely on Azure with Proven FrameworksMoving 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.
-
10
A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.
-
11
Shared Substance is a programming framework and middleware for developing distributed interactive application. The environment written in Python, operating on the data-oriented programming model.
-
12
Music player and cataloger. Based on python, QT and QT's phonon framework to play media. All data is stored in Sqlite database.
-
13
A framework for creating IRC bots and clients using Python 2 or 3, focusing on ease-of-use and intuition. IRC a low level of raw events and event objects, or a higher level w channel/user objects, as well as thread and commonly used IRC client features.
-
14
To create a framework to extract Web data and store in local RDBMS, to generate assessment reports on quality of the data being extract, and to publish the quality reports on the Web.
-
15
Use SASSIE to generate and manipulate large numbers of molecular structures and then calculate the SAXS, SANS, and neutron reflectivity profiles from atomistic structures. Use for intrinsically disordered proteins. We need alpha-testers and developers.
-
16
-
17
libiptcdata is a standalone C-library for reading and writing the International Press Telecommunications Council (IPTC) metadata contained in various data files such as images.
-
18
Pypes is a framework which allows users to break complex data processing logic down into a series of smaller less complex tasks. These tasks, referred to as components, can then be connected so that the output of one becomes the input to another.
-
19
MIVF - Medical Imaging and Visualization Factory, is a framework for medical applications. It supplies a platform, in which image processing and 3D visualization algorithms can be employed as reusable components (functional modules or plugins).
-
20
PGAF provides a framework tuned, user-specific genetic algorithms by handling I/O, UI, and parallelism. It is designed for optimizing functions that take a "very long time" to evaluate.
-
21
Django-dataplot enables developers using the Django web framework to seamlessly integrate data-driven graphical plots into their web pages.
-
22
HDRFlow is a framework to process high-dynamic range (HDR) and RAW images. It's written in C++, and is both cross-platform and hardware accelerated on modern GPUs.
-
23
SnapLogic is an Open Source Data Integration framework that combines the power of state-of-the-art dynamic programming languages with standard Web interfaces to solve today's most pressing problems in data integration.
-
24
A lightweight, browsing-based, 100% Python, federated data integration framework. Users may create custom schemas for disparate sources, query and expand results across sources to find related data; for use in fields such as bioinformatics and datamining
-
25
NOTE: Project migrated to GitHub in Dec 2020! See https://github.com/Enselic/recordmydesktop recordMyDesktop is a program that captures audio-video data of a linux desktop session, producing an ogg-encapsulated theora-vorbis file. recordMyDesktop tries to be as unobstrusive as possible by proccessing only regions of the screen that have changed
