Search Results for "data.6bin"
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Showing 5625 open source projects for "data.6bin"
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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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Application Monitoring That Won't Slow Your App DownFull APM with errors, performance, logs, and uptime monitoring. 99.999% uptime SLA on the platform itself.
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Azure Data Studio
A data management tool that enables working with other SQL tools
Azure Data Studio is a cross-platform database tool for data professionals who use on-premises and cloud data platforms on Windows, macOS, and Linux. Azure Data Studio offers a modern editor experience with IntelliSense, code snippets, source control integration, and an integrated terminal. It's engineered with the data platform user in mind, with the built-in charting of query result sets and customizable dashboards. -
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data.table
Extends base R’s data for high-performance data manipulation
data.table is an R package that extends base R’s data.frame for high-performance data manipulation. It offers concise syntax, blazing speed, and memory-efficient operations. It supports fast file reading/writing, joins, grouping, reshaping, and updates by reference. It is heavily used in large data workflows, big data in R, production pipelines, etc. Extremely efficient grouping/aggregation/summarization; can handle very large datasets (hundreds of millions to billions of rows) in memory (if available). ... -
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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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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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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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Dynamic Data
Reactive collections based on Rx.Net
...However, typical applications are much more complicated and may apply a filter, transform the original dto and apply a sort. Even with these simple everyday operations, the complexity of the code is quickly magnified. Dynamic data has been developed to remove the tedious code of dynamically maintaining collections. It has grown to become functionally very rich with at least 60 collection-based operations which amongst other things enable filtering, sorting, grouping, joining different sources, transforms, binding, pagination, data virtualization, expiration, disposal management plus more. -
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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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Spring Data MongoDB
Provide support to increase developer productivity in Java
The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. The Spring Data MongoDB project aims to provide a familiar and consistent Spring-based programming model for new datastores while retaining store-specific features and capabilities. -
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Spring Data Redis
Provides support to increase developer productivity in Java
Provides support to increase developer productivity in Java when using Redis, a key-value store. Uses familiar Spring concepts such as a template class for core API usage and lightweight repository-style data access. The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. Connection package as low-level abstraction across multiple Redis drivers (Lettuce and Jedis). Exception translation to Spring’s portable Data Access exception hierarchy for Redis driver exceptions. ... -
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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Spring Data JPA
Simplifies the development of creating a JPA-based data access layer
Spring Data JPA, part of the larger Spring Data family, makes it easy to easily implement JPA-based repositories. This module deals with enhanced support for JPA-based data access layers. It makes it easier to build Spring-powered applications that use data access technologies. Implementing a data access layer of an application has been cumbersome for quite a while. -
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Spring Data Neo4j
Provide support to increase developer productivity in Java
...The template programming model is equivalent to other Spring templates and builds the basis for interaction with the graph and is also used for the Spring Data repository support. Spring Data Neo4j is a core part of the Spring Data project which aims to provide convenient data access for NoSQL databases. Spring Data builds on Spring Framework, check the spring.io web-site for a wealth of reference documentation. If you are just starting out with Spring, try one of the guides. -
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Spring Data REST
Simplifies building hypermedia-driven REST web services
Spring Data REST is part of the umbrella Spring Data project and makes it easy to build hypermedia-driven REST web services on top of Spring Data repositories. Spring Data REST builds on top of Spring Data repositories, analyzes your application’s domain model and exposes hypermedia-driven HTTP resources for aggregates contained in the model. -
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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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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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sq data wrangler
sq data wrangler
sq is a command line tool that provides jq-style access to structured data sources: SQL databases, or document formats like CSV or Excel. sq executes jq-like queries, or database-native SQL. It can join across sources: join a CSV file to a Postgres table, or MySQL with Excel. sq outputs to a multitude of formats including JSON, Excel, CSV, HTML, Markdown and XML, and can insert query results directly to a SQL database. sq can also inspect sources to view metadata about the source structure (tables, columns, size). ... -
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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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Countries, Languages & Continents data
Countries, Languages & Continents data (capital and currency)
...Languages list only contains languages used in Countries data. Full list of known languages is exported as languagesAll from ./dist/languages.all.json. -
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The CUE Data Constraint Language
The home of the CUE language. Validate and define text-based config
CUE is an open source data constraint language which aims to simplify tasks involving defining and using data. CUE merges the notion of schema and data. The same CUE definition can simultaneously be used for validating data and act as a template to reduce boilerplate. Schema definition is enriched with fine-grained value definitions and default values. At the same time, data can be simplified by removing values implied by such detailed definitions. ... -
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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. -
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OpenPDF
open source Java library for creating and editing PDF files
OpenPDF is a Java library for creating and editing PDF files with a LGPL and MPL open source license. OpenPDF is the LGPL/MPL open source successor of iText, and is based on a fork, of a fork, of iText 4 svn tag. -
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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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Protocol Buffers
Google's data interchange format
Protocol Buffers are Google’s fast and simple, language- and platform-neutral, extensible mechanism for serializing structured data. It allows you to define how your data should be structured once, and then using a special generated source code, you can then easily write and read your structured data to and from a variety of data streams and using a variety of languages. Protocol Buffers currently supports a wide array of languages, including C++, Java, Python, Ruby, and many others with more to come. -
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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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Mimesis
High-performance fake data generator for Python
Mimesis is an open source high-performance fake data generator for Python, able to provide data for various purposes in various languages. It's currently the fastest fake data generator for Python, and supports many different data providers that can produce data related to people, food, transportation, internet and many more. Mimesis is really easy to use, with everything you need just an import away.
