Search Results for "data analysis" - Page 8
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Showing 418 open source projects for "data analysis"
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PINCIS
PINCIS.pl is a Perl bioinf. script to analyze PICS data
PINCIS.pl (PIcs N-/C-terminal Inferred Substrates perl script) is a small, command line tool to designate and analyze PICS (Schilling et al., Nat. Protocols, 2011) data to gain the prime and non-prime site specificity of proteases. Thus, the script filters given peptide lists for library peptides (generated by the digestion protease in the proteomics workflow rather then the protease of interest) and prints out lists of inferred N- and C-terminal cleavage window extensions which can be... -
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CodeQL
Libraries and queries that power security researchers
CodeQL is a semantic code analysis engine that treats programs as queryable databases, enabling users to write expressive queries that identify security vulnerabilities, logic bugs, and code quality issues across large codebases. Instead of just pattern matching text, CodeQL ingests source code, builds rich representations of structure and data flow, and allows queries that reason about control flow, type systems, and interprocedural relationships. -
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BeaEngine 5
BeaEngine disasm project
BeaEngine is a C library designed to decode instructions from 16-bit, 32-bit and 64-bit intel architectures. It includes standard instructions set and instructions set from FPU, MMX, SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, VMX, CLMUL, AES, MPX, AVX, AVX2, AVX512 (VEX & EVEX prefixes), CET, BMI1, BMI2, SGX, UINTR, KL, TDX and AMX extensions. If you want to analyze malicious codes and more generally obfuscated codes, BeaEngine sends back a complex structure that describes precisely the... -
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Reproducible-research
A Reproducible Data Analysis Workflow with R Markdown, Git, Make, etc.
...The workflow ensures meeting the primary goals that 1) the reporting of statistical results is consistent with the actual statistical results (dynamic report generation), 2) the analysis exactly reproduces at a later point in time even if the computing platform or software is changed (computational reproducibility), and 3) changes at any time (during development and post-publication) are tracked, tagged, and documented while earlier versions of both data and code remain accessible. -
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fastNLP
fastNLP: A Modularized and Extensible NLP Framework
fastNLP is a lightweight framework for natural language processing (NLP), the goal is to quickly implement NLP tasks and build complex models. A unified Tabular data container simplifies the data preprocessing process. Built-in Loader and Pipe for multiple datasets, eliminating the need for preprocessing code. Various convenient NLP tools, such as Embedding loading (including ELMo and BERT), intermediate data cache, etc.. Provide a variety of neural network components and recurrence models (covering tasks such as Chinese word segmentation, named entity recognition, syntactic analysis, text classification, text matching, metaphor resolution, summarization, etc.). ... -
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Laravel MySQL Spatial extension
MySQL Spatial Data Extension integration with Laravel.
Laravel package to easily work with MySQL Spatial Data Types and MySQL Spatial Functions. Please check the documentation for your MySQL version. MySQL's Extension for Spatial Data was added in MySQL 5.5 but many Spatial Functions were changed in 5.6 and 5.7. -
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OpenFrames
Real-time interactive 3D graphics API for scientific simulations
OpenFrames has moved its primary development repository to GitHub! Everything else will follow. Get it at https://github.com/ravidavi/OpenFrames/wiki OpenFrames is an Application Programming Interface (API) that allows developers to provides the ability to add interactive 3D graphics to any scientific simulation. A simulation developer can use OpenFrames to specify what they want to visualize, without having to know any details of computer graphics programming. OpenFrames is currently... -
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Zipline
Zipline, a Pythonic algorithmic trading library
Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backtesting and live-trading engine powering Quantopian -- a free, community-centered, hosted platform for building and executing trading strategies. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more. Installing Zipline is slightly more involved than the average Python... -
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Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.
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Hiper
A statistical analysis tool for performance testing
Hiper is an open-source command-line tool designed for statistical analysis of web performance and page load behavior during performance testing. The tool repeatedly loads a specified webpage multiple times and gathers detailed timing metrics in order to produce more reliable performance measurements than single-run benchmarks. By averaging data across multiple page loads, Hiper helps developers understand whether performance optimizations actually improve real-world page loading behavior. ... -
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Gizmo Microservice Toolkit
A Microservice Toolkit from The New York Times
At The New York Times, our development teams have been adopting the Go programming language over the last three years to build better back-end services. In the past I’ve written about using Go for Elastic MapReduce streaming. I’ve also talked about using Go at GothamGo for news analysis and to improve our email and alert systems at the Golang NYC Meetup. We use Go for a wide variety of tasks, but the most common use throughout the company is for building JSON APIs. When we first began... -
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PyCBC
Learn how to use PyCBC to analyze gravitational-wave data
PyCBC is a software developed by a collaboration of LIGO, Virgo, and independent scientists. It is open source and freely available. We use PyCBC in the detection of gravitational waves from binary mergers such as GW150914. These examples explore how to analyze gravitational wave data, how we find potential signals and learn about them. Many of these tutorials will require you to make edits to config files as part of their exercises. At the moment this isn't easy to do on services like... -
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dc.js
Multi-Dimensional charting built to work natively with crossfilter
...When the filter or brush changes, all other charts are updated dynamically, using animated transitions. dc.js is an easy yet powerful javascript library for data visualization and analysis in the browser and on mobile devices. -
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The TRANSIMS Studio application is an integrated development environment for the TRansportation ANalysis and SIMulation System (TRANSIMS). Components include a run time environment to execute TRANSIMS in parallel, as well as a full featured GUI.
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Hercules
Gaining advanced insights from Git repository history
...The second is a Python script that shows some predefined plots over the collected data. These two tools are normally used together through a pipe. It is possible to write custom analyses using the plugin system. It is also possible to merge several analysis results together - relevant for organizations. The analyzed commit history includes branches, merges, etc. Hercules has been successfully used for several internal projects at source{d}. -
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qlogtimeliner
Your application log analysis tool.
This tool helps with analysis multithreaded logs by visualising log events on a timeline. It is user responsibility to create rules for log parsing in actionscript (like JavaScript) You need to have latest Qt sdk installed in order to build it from source code. -
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TSA_CRAFT
Automatic command line tool for TSA data analysis
DSF is a high-throughput platform of TSA assay to screen various conditions that affect protein stability. To facilitate TSA data analysis, we developed an automatic tool "TSA-CRAFT". TSA-CRAFT was developed by integrating PERL script and Gnuplot. PERL scripts manage the entire workflow and data processing procedures of TSA data analysis. On the other hand, Gnuplot takes over the curve fitting and result presentation works. All analysed results are coded in an html file that can be easily displayed by a web browser. -
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Olex2 is visualisation software for small-molecule crystallography developed at Durham University/EPSRC. It provides comprehensive tools for crystallographic model manipulation for the end user and an extensible development framework for programmers. The project has been supported by Olexsys Ltd since 2010.
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RobotsDisallowed
A curated list of the most common and most interesting robots.txt
RobotsDisallowed is a public catalog that tracks websites and organizations explicitly blocking AI and web-scraping crawlers in their robots.txt or related mechanisms. It focuses on documenting the growing trend of content owners asserting control over how their data is used for model training and automated harvesting. The project aggregates domains, notes the targeted bots or user agents, and surfaces patterns for researchers, policymakers, and tool builders. It serves both as a... -
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Facets
Visualizations for machine learning datasets
The power of machine learning comes from its ability to learn patterns from large amounts of data. Understanding your data is critical to building a powerful machine learning system. Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive. Explore Facets Overview and Facets Dive on the UCI Census Income... -
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Active Learning
Framework and examples for active learning with machine learning model
Active Learning is a Python-based research framework developed by Google for experimenting with and benchmarking various active learning algorithms. It provides modular tools for running reproducible experiments across different datasets, sampling strategies, and machine learning models. The system allows researchers to study how models can improve labeling efficiency by selectively querying the most informative data points rather than relying on uniformly sampled training sets. The main... -
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Personal Blog
One article per week, the content is concise, neither salty nor light
Personal Blog holds the source structure and article index for the author’s personal technical blog, which is closely tied to the “芋道源码” WeChat public account. It uses Markdown files and a static-site setup (with configuration like _config.yml) to organize posts about Java back-end engineering, distributed systems, and source-code deep dives. The README and index emphasize that the blog (in this repo) is paused and that new content is primarily delivered via the WeChat channel, but the... -
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JAS-mine
Toolkit for agent-based & dynamic microsimulation modelling
JAS-mine is a Java platform that aims at providing a unique simulation tool for discrete-event simulations, including agent-based and microsimulation models. With the aim to develop large-scale, data-driven models, the main architectural choice of JAS-mine is to use whenever possible standard, open-source tools already available in the software development community. It has built-in utilities for communicating with an underlying relational database. In addition, the platform provides standard tools which are frequently used both in agent-based modelling and dynamic microsimulations, like design of experiments (DOE), run-time monitoring and visualization with plots and graphs (GUI), I/O communication and statistical analysis. ... -
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Kalibr Allan
IMU Allan standard deviation charts
...While manufacturers typically provide “white noise” values in IMU datasheets, the bias instability and random walk parameters must be determined experimentally. This project enables users to compute those values using Allan variance analysis from recorded IMU data. The workflow involves recording IMU measurements with the device stationary, converting ROS bag files into MATLAB-compatible formats, and then running MATLAB scripts to generate Allan deviation plots. These plots are analyzed to determine noise density and random walk parameters for both gyroscopes and accelerometers. ... -
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Pipelines
An experimental programming language for data flow
Pipelines is a language and runtime for crafting massively parallel pipelines. Unlike other languages for defining data flow, the Pipeline language requires the implementation of components to be defined separately in the Python scripting language. This allows the details of implementations to be separated from the structure of the pipeline while providing access to thousands of active libraries for machine learning, data analysis, and processing.