Search Results for "data.6bin"
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3207 projects for "data.6bin" with 2 filters applied:
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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.
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Form-Data
A module to create readable `"multipart/form-data"` streams
A library to create readable "multipart/form-data" streams. Can be used to submit forms and file uploads to other web applications. -
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Laravel Data
Powerful data objects for Laravel
This package enables the creation of rich data objects which can be used in various ways. Using this package you only need to describe your data once. -
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Micronaut Data
Ahead of Time Data Repositories
...The problem is worse when combined with Hibernate which maintains its own meta-model as you end up with duplicate meta-models. Micronaut Data instead moves this model into the compiler. Both GORM and Spring Data use regular expressions and pattern matching in combination with runtime generated proxies to translate a method definition on a Java interface into a query at runtime. No such runtime translation exists in Micronaut Data and this work is carried out by the Micronaut compiler at compilation time. -
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NYC Taxi Data
Import public NYC taxi and for-hire vehicle (Uber, Lyft)
The nyc-taxi-data repository is a rich dataset and exploratory project around New York City taxi trip records. It collects and preprocesses large-scale trip datasets (fares, pickup/dropoff, timestamps, locations, passenger counts) to enable data analysis, modeling, and visualization efforts. The project includes scripts and notebooks for cleaning and filtering the raw data, memory-efficient processing for large CSV/Parquet files, and aggregation workflows (e.g. trips per hour, heatmaps of pickups/dropoffs). ... -
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The Data Engineering Handbook
Links to everything you'd ever want to learn about data engineering
The Data Engineering Handbook is a comprehensive, community-curated repository that aggregates essential learning resources for anyone interested in becoming a professional data engineer. Rather than being a code project itself, it’s a learning handbook that links to books, articles, tutorials, community groups, boot camps, and real-world project examples that collectively form a roadmap to mastering data engineering skills. -
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Pythonic Data Structures and Algorithms
Minimal examples of data structures and algorithms in Python
The Pythonic Data Structures and Algorithms repository by keon is a hands-on collection of implementations of classical data structures and algorithms written in Python. It offers working, often well-commented code for many standard algorithmic problems — from sorting/searching to graph algorithms, dynamic programming, data structures, and more — making it a valuable resource for learning and reference. -
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Synthetic Data Kit
Tool for generating high quality Synthetic datasets
Synthetic Data Kit is a CLI-centric toolkit for generating high-quality synthetic datasets to fine-tune Llama models, with an emphasis on producing reasoning traces and QA pairs that line up with modern instruction-tuning formats. It ships an opinionated, modular workflow that covers ingesting heterogeneous sources (documents, transcripts), prompting models to create labeled examples, and exporting to fine-tuning schemas with minimal glue code. -
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JavaScript Algo and Data Structures
Algorithms and data structures implemented in JavaScript
javascript-algorithms is an open source repository by Oleksii Trekhleb that provides implementations of algorithms and data structures in JavaScript. Each algorithm includes explanations, complexity analysis, and references for further reading, making it both a coding resource and a study guide. The repository covers topics such as sorting, searching, graph algorithms, cryptography, and data structures like linked lists, stacks, and queues. It is designed to help developers understand algorithm fundamentals and practice problem-solving with JavaScript. ... -
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Chart.js
Simple yet flexible JavaScript charting for designers & developers
Chart.js is a Javascript library that allows designers and developers to draw all kinds of charts using the HTML5 canvas element. Chart js offers a great array of simple, clean charts including animated and interactive versions. Chartjs is an easy way to include beautiful and engaging charts into your website for free. -
8 Monitoring Tools in One APM. Install in 5 Minutes.AppSignal works out of the box for Ruby, Elixir, Node.js, Python, and more. 30-day free trial, no credit card required.
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v2ray-rules-dat
V2Ray routing rules file enhanced version, which can replace V2Ray
v2ray-rules-dat is a repository that compiles and distributes enhanced rule data (domain lists, geo-IP/geo-domain data, block/proxy/detect lists) intended for use with tools like V2Ray, Xray-core, and similar network/proxy frameworks. The dataset serves as an alternative or supplement to official geoip/ geosite data files, often providing more up-to-date, community-curated entries — enabling better routing, blocking, or traffic management when using those proxy tools. ... -
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EMV NFC Paycard Enrollment
A Java library used to read and extract data from NFC EMV credit cards
Java library used to read and extract public data from NFC EMV credit cards. -
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stdlib
Standard library for JavaScript and Node.js
...High performance, rigorous, and robust mathematical and statistical functions. Build advanced statistical models and machine learning libraries. Plotting and graphics functionality for data visualization and exploratory data analysis. Analyze and understand your data. Comprehensively tested utilities for application and library development. Functions to assert, group, filter, map, pluck, and transform your data both in browsers and on the server. Everything you would expect from a modern standard library. Consistent interfaces combined with extensive documentation, examples, tests, and benchmarks. ... -
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Apollo Client
A fully-featured, production ready caching GraphQL client
Apollo Client is a comprehensive state management library for JavaScript that enables you to manage both local and remote data with GraphQL. Use it to fetch, cache, and modify application data, all while automatically updating your UI. Apollo Client helps you structure code in an economical, predictable, and declarative way that's consistent with modern development practices. The core Apollo Client library provides built-in integration with React, and the larger Apollo community maintains integrations for other popular view layers. ... -
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Scrapy
A fast, high-level web crawling and web scraping framework
...It can be used for data mining, monitoring and automated testing. -
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dplyr
dplyr: A grammar of data manipulation
dplyr is an R package that provides a consistent and intuitive grammar for data manipulation, enabling users to filter, arrange, summarize, and transform data efficiently. Part of the tidyverse ecosystem, dplyr simplifies complex data operations through a clear and readable syntax, whether working with data frames, tibbles, or databases. It is widely used in data science and statistical analysis workflows. -
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GeoIP
This project automatically generates GeoIP files in multiple formats
GeoIP is a community-maintained project that generates and publishes enhanced GeoIP/Geo-database and IP-location/routing data in multiple formats (e.g. V2Ray .dat, MaxMind .mmdb, and others) to support proxy, VPN, or routing tools requiring IP-to-country/region resolution. Rather than depending solely on the official GeoLite2 data, geoip augments and merges data sources (especially for certain regions) to improve coverage or tailor by use-case (e.g. proxy-specific rules, private networks, or region-based classification). ... -
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lxml
The lxml XML toolkit for Python
A Python library for efficient XML and HTML processing, known for speed and compatibility. The lxml XML toolkit is a Pythonic binding for the C libraries libxml2 and libxslt. It is unique in that it combines the speed and XML feature completeness of these libraries with the simplicity of a native Python API, mostly compatible but superior to the well-known ElementTree API. The latest release works with all CPython versions from 3.6 to 3.12. See the introduction for more information about the... -
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Elixir
Dynamic, functional language designed for building scalable apps
...Elixir leverages the Erlang VM, known for running low-latency, distributed, and fault-tolerant systems. Elixir is successfully used in web development, embedded software, data ingestion, and multimedia processing, across a wide range of industries. All Elixir code runs inside lightweight threads of execution (called processes) that are isolated and exchange information via messages. Due to their lightweight nature, it is not uncommon to have hundreds of thousands of processes running concurrently in the same machine. ... -
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Bootstrap
HTML, CSS and JS framework for developing responsive websites and apps
Bootstrap is an HTML, CSS, and JS framework designed for developing responsive, mobile first projects on the web. It's one of the most popular front-end frameworks and for good reason: it simply makes web development faster and easier. People of all skill levels can create projects of all sizes with Bootstrap, and for all types of devices too. With Bootstrap, you get a host of nifty features such as precompiled CSS, impressive scalability, dozens of custom HTML and CSS components and more. -
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Apache Spark
A unified analytics engine for large-scale data processing
...With Spark Streaming (microbatches) and Structured Streaming, it delivers low-latency event processing suitable for real-time analytics. The built-in MLlib library provides scalable machine learning algorithms, while GraphX enables graph computations integrated with data pipelines. Spark supports multiple languages—Scala, Java, Python, R—and connects with many storage systems like HDFS, S3, Cassandra, and streaming platforms like Kafka, making it a versatile choice for big data workloads in analytics, ETL, and data science. -
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Curl
Command line tool and library for transferring data with URLs
Curl is a command line tool and library for transferring data specified with URL syntax. It supports HTTP, HTTPS, FTP, FTPS, GOPHER, TFTP, SCP, SFTP, SMB, TELNET, DICT, SSL certificates, cookies, user+password authentication, and so much more! Curl is used for many different things. It's used in command lines or scripts for transferring data. It's also used in just about every device you can think of: mobile phones and tablets, television sets, printers, routers, media players and other audio equipment. ... -
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UnoPIM
A free and open source Laravel-based PIM software to help businesses
Unopim is an open-source Product Information Management (PIM) system designed to help businesses manage and centralize product data. It provides a structured way to collect, enrich, and distribute product information across multiple channels, improving data consistency and accuracy. Unopim is designed to streamline product data management for e-commerce, retail, and marketing applications, allowing for better data governance and more efficient updates. -
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Deequ
Deequ is a library built on top of Apache Spark
Deequ is a library built atop Apache Spark that enables defining “unit tests for data” — that is, formal constraints or checks on datasets to ensure data quality along dimensions such as completeness, uniqueness, value ranges, correlations, etc. It can scale to large datasets (billions of rows) by translating those data checks into Spark jobs. Deequ supports advanced features like a metrics repository for storing computed statistics over time, anomaly detection of data quality metrics, and the suggestion of likely constraints automatically for new datasets. ... -
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AtomicServer
An open source headless CMS / real-time database
Create, share, fetch, and model Atomic Data! AtomicServer is a lightweight, yet powerful CMS / Graph Database. Atomic Data is a modular specification for sharing, modifying, and modeling graph data. It combines the ease of use of JSON, the connectivity of RDF (linked data), and the reliability of type-safety. Atomic Data uses links to connect pieces of data, and therefore makes it easier to connect datasets to each other - even when these datasets exist on separate machines. -
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Another Redis Desktop Manager
A faster, better and more stable Redis desktop manager
AnotherRedisDesktopManager is a cross-platform GUI client for Redis that simplifies connecting, browsing, and manipulating data. It supports standalone, Sentinel, and Cluster modes, plus SSH tunneling and ACL credentials for secure access in varied environments. The UI provides tree and table views of keys with inline editors for strings, hashes, lists, sets, sorted sets, and streams, including TTL management and batch operations. Built-in monitoring lets you watch stats, slow logs, and command activity while an integrated console executes raw Redis commands. ...
