Search Results for "random data compression"
Sort By:
Showing 477 open source projects for "random data compression"
View related business solutions-
Our Free Plans just got better! | Auth0 by OktaYou 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 secuirty. Auth0 now, thank yourself later.
-
Manage printing in a cost-efficient and eco-friendly way with Gelato.The world's largest print on demand network with 140+ production partners across 32 countries. Gelato offers end-to-end design, production and logistics for individuals looking to start their own business today!
-
1
Random Cut Forest by AWS
An implementation of the Random Cut Forest data structure
This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure. RCFs were originally developed at Amazon to use in a nonparametric anomaly detection algorithm for streaming data. Later new algorithms based on RCFs were developed for density estimation, imputation, and forecasting. The different directories correspond to equivalent implementations in different languages, and bindings to to those base implementations, using language-specific features... -
2
Zstandard
Zstandard - Fast real-time compression algorithm
Zstandard is a fast compression algorithm, providing high compression ratios. It also offers a special mode for small data, called dictionary compression. The reference library offers a very wide range of speed / compression trade-off, and is backed by an extremely fast decoder (see benchmarks below). Zstandard library is provided as open source software using a BSD license. Its format is stable and published as IETF RFC 8478. The negative compression levels, specified with --fast=#, offer... -
3
GLM
OpenGL Mathematics (GLM)
..., quaternions, data packing, random numbers, noise, etc. This library works perfectly with OpenGL but it also ensures interoperability with other third party libraries and SDK. It is a good candidate for software rendering (raytracing / rasterisation), image processing, physics simulations and any development context that requires a simple and convenient mathematics library. GLM is written in C++98 but can take advantage of C++11 when supported by the compiler. -
4
PyInstaller
Freeze (package) Python programs into stand-alone executables
PyInstaller freezes (packages) Python applications into stand-alone executables, under Windows, GNU/Linux, Mac OS X, FreeBSD, Solaris and AIX. PyInstaller’s main advantages over similar tools are that PyInstaller works with Python 3.5 to 3.9, it builds smaller executables thanks to transparent compression, it is fully multi-platform, and use the OS support to load the dynamic libraries, thus ensuring full compatibility. The main goal of PyInstaller is to be compatible with 3rd-party packages... -
The #1 Embedded Analytics Solution for SaaS Teams.Qrvey’s comprehensive embedded analytics software enables you to design more customizable analytics experiences for your end users.
-
5
Pixelorama
A free & open-source 2D sprite editor, made with the Godot Engine
... timeline just for you! You can work at an individual cel level, where each cel refers to a unique layer and frame. Supports onion skinning, cel linking, motion drawing and frame grouping with tags. Custom brushes, including random brushes. Create or import custom palettes. Import images and edit them inside Pixelorama. If you import multiple files, they will be added as individual animation frames. Importing sprite sheets is also supported. -
6
DwarFS
A fast high compression read-only file system for Linux, Windows
The Deduplicating Warp-speed Advanced Read-only File System. A fast high compression read-only file system for Linux and Windows. DwarFS is a read-only file system with a focus on achieving very high compression ratios in particular for very redundant data. This probably doesn't sound very exciting, because if it's redundant, it should compress well. However, I found that other read-only, compressed file systems don't do a very good job at making use of this redundancy. See here... -
7
Brotli
Brotli compression format
Version 1.0.9 contains a fix to "integer overflow" problem. This happens when "one-shot" decoding API is used (or input chunk for streaming API is not limited), input size (chunk size) is larger than 2GiB, and input contains uncompressed blocks. After the overflow happens, memcpy is invoked with a gigantic num value, that will likely cause the crash. Brotli is a generic-purpose lossless compression algorithm that compresses data using a combination of a modern variant of the LZ77 algorithm... -
8
asar
Simple extensive tar-like archive format with indexing
Asar is a simple extensive archive format, it works like tar that concatenates all files together without compression while having random access support. You can pass in a transform option, which is a function, that either returns nothing or a stream. Transform. The latter will be used on files that will be in the .asar file to transform them. There is also an unofficial grunt plugin to generate asar archives at bwin/grunt-asar. Asar uses Pickle to safely serialize binary value to file... -
9
MySQLDump - PHP
PHP version of mysqldump cli that comes with MySQL
This is a php version of mysqldump cli that comes with MySQL, without dependencies, output compression and sane defaults. Out of the box, MySQLDump-PHP supports backing up table structures, the data itself, views, triggers and events. MySQLDump-PHP is the only library that supports output binary blobs as hex. Resolves view dependencies (using Stand-In tables). Output compared against original mysqldump. Linked to travis-ci testing system (testing from php 5.3 to 7.3 & hhvm). Dumps stored... -
Top-Rated Free CRM SoftwareHubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
-
10
SimpleX
The first messaging platform operating without user identifiers
Other apps have user IDs: Signal, Matrix, Session, Briar, Jami, Cwtch, etc. SimpleX does not, not even random numbers. This radically improves your privacy. The video shows how you connect to your friend via their 1-time QR-code, in person or via a video link. You can also connect by sharing an invitation link. Temporary anonymous pairwise identifiers SimpleX uses temporary anonymous pairwise addresses and credentials for each user contact or group member. It allows to deliver messages without... -
11
frp
A Fast Reverse Proxy
frp stands for exactly what it is: a fast reverse proxy. It helps you expose a local server behind a NAT or firewall to the Internet. It is currently under development, but already supports TCP and UDP, as well as HTTP and HTTPS protocols where requests can be forwarded to internal services by domain name. It also has a P2P connect mode and many other nifty features. These include configuration files, environment variables, a dashboard that shows you frp's status and proxies' statistics... -
12
librdkafka
The Apache Kafka C/C++ library
librdkafka is a C library implementation of the Apache Kafka protocol, providing Producer, Consumer and Admin clients. It was designed with message delivery reliability and high performance in mind, current figures exceed 1 million msgs/second for the producer and 3 million msgs/second for the consumer. librdkafka is licensed under the 2-clause BSD license. KAFKA is a registered trademark of The Apache Software Foundation and has been licensed for use by librdkafka. librdkafka has no... -
13
TimescaleDB
An open-source time-series SQL database optimized for fast ingest
... questions, and build more powerful applications. Don’t break the bank. 94-97% compression rates from best-in-class algorithms. Downsample + retention policies. Decouple compute and storage. You’re in trusted hands. Fully-managed TimescaleDB on AWS, Azure, or GCP in just one click. Top-rated support and ops available 24/7 worldwide. A modern, cloud-native relational database platform for time-series data based on TimescaleDB and PostgreSQL. -
14
Apache HBase
Get random, realtime read/write access to your Big Data
Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables, billions of rows X millions of columns, atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable. A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache... -
15
ClickHouse
A fast open-source OLAP database management system
ClickHouse® is a fast, open-source column-oriented database management system that can generate analytical data reports through SQL queries in real time. According to several independent benchmarks, it far exceeds other comparable column-oriented database management systems, working even up to 1000 times faster. It is able to process hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. Apart from its blazing speed, ClickHouse is highly... -
16
NetworkX
Network analysis in Python
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Data structures for graphs, digraphs, and multigraphs. Many standard graph algorithms. Network structure and analysis measures. Generators for classic graphs, random graphs, and synthetic networks. Nodes can be "anything" (e.g., text, images, XML records). Edges can hold arbitrary data (e.g., weights, time-series). Open source 3-clause BSD license. Well tested... -
17
Vortex
The LLVM of columnar file formats
Vortex is a high-performance toolkit designed for working with compressed Apache Arrow arrays, providing functionality for in-memory, on-disk, and over-the-wire data handling. It aims to be an advanced successor to Apache Parquet, offering dramatically faster random access reads and scans, while maintaining similar compression ratios. Vortex's modular design allows for extensibility, enabling developers to implement custom encodings for efficient data management, particularly for large-scale... -
18
Snappy
A fast compressor/decompressor
Snappy is a compression/decompression library. It does not aim for maximum compression, or compatibility with any other compression library; instead, it aims for very high speeds and reasonable compression. For instance, compared to the fastest mode of zlib, Snappy is an order of magnitude faster for most inputs, but the resulting compressed files are anywhere from 20% to 100% bigger. Snappy is intended to be fast. On a single core of a Core i7 processor in 64-bit mode, it compresses at about... -
19
Faker for Python
Python package that generates fake data for you
Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in your persistence to stress test it, or anonymize data taken from a production service, Faker is for you. Starting from version 4.0.0, Faker dropped support for Python 2 and from version 5.0.0 only supports Python 3.6 and above. If you still need Python 2 compatibility, please install version 3.0.1 in the meantime, and please consider updating your... -
20
minizip-ng
Fork of the zip manipulation library found in the zlib distribution
minizip-ng is a zip manipulation library written in C that is supported on Windows, macOS, and Linux. Minizip was originally developed by Gilles Vollant in 1998. It was first included in the zlib distribution as an additional code contribution starting in zlib 1.1.2. Since that time, it has been continually improved upon and contributed to by many people. The original project can still be found in the zlib distribution that is maintained by Mark Adler. The motivation behind this repository... -
21
Mixed-effects models in Julia
A Julia package for fitting (statistical) mixed-effects models
... Treatment 1 versus the placebo". If the potential levels of the covariate are fixed and reproducible, e.g. the levels for Sex could be "F" and "M", they are modeled with fixed-effects parameters. If the levels constitute a sample from a population, e.g. the Subject or the Item at a particular observation, they are modeled as random effects. -
22
Smile
Statistical machine intelligence and learning engine
Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM languages... -
23
Covermyass
Post-exploitation tool to cover your tracks on a compromised machine
Covermyass is a post-exploitation tool to cover your tracks on various operating systems. It was designed for penetration testing "covering tracks" phase, before exiting the compromised server. At any time, you can run the tool to find which log files exists on the system, then run again later to erase those files. The tool will tell you which file can be erased with the current user permissions. Files are overwritten repeatedly with random data, in order to make it harder for even very... -
24
OpenPGP.js
OpenPGP implementation for JavaScript
This project aims to provide an Open Source OpenPGP library in JavaScript so it can be used on virtually every device. Instead of other implementations that are aimed at using native code, OpenPGP.js is meant to bypass this requirement (i.e. people will not have to install gpg on their machines in order to use the library). The idea is to implement all the needed OpenPGP functionality in a JavaScript library that can be reused in other projects that provide browser extensions or server... -
25
JDF.jl
Julia DataFrames serialization format
... is called a JDF "file". JDF.jl is a pure-Julia solution and there are a lot of ways to do nifty things like compression and encapsulating the underlying struture of the arrays that's hard to do in R and Python. E.g. Python's numpy arrays are C objects, but all the vector types used in JDF are Julia data types.