Search Results for "data structure"
Sort By:
Showing 1020 open source projects for "data structure"
View related business solutions-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
-
1
Cookiecutter Data Science
Project structure for doing and sharing data science work
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. When we think about data analysis, we often think just about the resulting reports, insights, or visualizations. While these end products are generally the main event, it's easy to focus on making the products look nice and ignore the quality of the code that generates them. Because these end products are created programmatically, code quality is still important! ... -
2
Polymarket Data
Polymarket Data Retriever that fetches, processes, and structures data
Polymarket Data is a comprehensive data engineering pipeline designed to collect, process, and structure trading activity from the Polymarket prediction market ecosystem into analyzable datasets. The system operates as a multi-stage pipeline that integrates data from both off-chain APIs and on-chain event sources, enabling users to reconstruct full trading activity including markets, order events, and executed trades. -
3
Data Contract CLI
Enforce Data Contracts
Data Contract CLI is an open-source command-line tool and Python library for creating, validating, testing, importing, exporting, and enforcing data contracts. It uses YAML-based contract files to define the structure, meaning, quality rules, service levels, and connection details for a data product. The tool can connect to real data sources and check whether the actual dataset matches the schema, constraints, and quality expectations described in the contract. ... -
4
Dash Data Agent
Self-learning data agent that grounds its answers in layers of content
Dash is a self-learning data agent built by the Agno AI community that generates grounded answers to English queries over structured data by synthesizing SQL and reasoning based on six layers of context, improving automatically with each run. It sidesteps common limitations of simple text-to-SQL agents by incorporating multiple context layers — including schema structure, human annotations, known query patterns, institutional knowledge from docs, machine-discovered error patterns, and live runtime context — to generate SQL queries that are both technically correct and semantically meaningful. ... -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
-
5
Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
...The repository focuses on core data science fundamentals rather than acting as a software framework, which makes it especially useful as a study and revision resource. Its content is organized into subject-specific documents that cover machine learning, deep learning, statistics, probability, Python, SQL and databases, and resume-based interview questions. That structure makes it practical for users who want to study by topic, strengthen weak areas, or simulate the range of questions they may encounter in interviews. -
6
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). ... -
7
SeedCrackerX
Minecraft mod designed to reverse-engineer
SeedcrackerX is a Minecraft mod designed to reverse-engineer and determine a world’s seed by analyzing in-game structures and environmental data. It operates by collecting information from structures such as shipwrecks, temples, and monuments, then using that data to progressively narrow down possible seeds until the correct one is identified. The mod automates much of this process, initiating cracking procedures once sufficient data has been gathered, often requiring only exploration of... -
8
Countries, Languages & Continents data
Countries, Languages & Continents data (capital and currency)
...Continents & countries: ISO 3166-1 alpha-2 code, name, ISO 639-1 language, capital and currency, native name, calling codes. Lists are available in JSON, CSV and SQL formats. Also, contains separate JSON files with additional country Emoji flags data. This version changes a lot in the data structures and placement of the files. So, if your projects depend on the old structure — specify previous versions, <2.0.0. Country item languages field is an Array in JSON files to easily count and match items with a Language item. But currency and phone calling codes may be a comma-separated String. ... -
9
CausalInference.jl
Causal inference, graphical models and structure learning in Julia
Julia package for causal inference and analysis, graphical models and structure learning. This package contains code for the PC algorithm and the extended FCI algorithm, the score based greedy equivalence search (GES) algorithm, the Bayesian Causal Zig-Zag sampler and a function suite for adjustment set search. -
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.
-
10
Hello Algorithm
Animated illustrations, one-click data structure
Animated illustrations, one-click data structure and algorithm tutorials. This project aims to create an open source, free, novice-friendly introductory tutorial on data structures and algorithms. The whole book uses animated illustrations, the content is clear and easy to understand, and the learning curve is smooth, guiding beginners to explore the knowledge map of data structures and algorithms. -
11
OpenVDB
Sparse volume data structure and tools
OpenVDB is an open-source C++ library for storing and manipulating sparse volumetric data on three-dimensional grids. It was originally developed by DreamWorks Animation for volumetric work in feature film production. The project centers on a hierarchical data structure that keeps large empty regions efficient while still supporting detailed volume information. It includes tools for creating, editing, transforming, filtering, rendering, and exchanging volume data. ... -
12
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). -
13
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. ... -
14
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 for greater flexibility of use. -
15
DocArray
The data structure for multimodal data
DocArray is a library for nested, unstructured, multimodal data in transit, including text, image, audio, video, 3D mesh, etc. It allows deep-learning engineers to efficiently process, embed, search, recommend, store, and transfer multimodal data with a Pythonic API. Door to multimodal world: super-expressive data structure for representing complicated/mixed/nested text, image, video, audio, 3D mesh data. -
16
MultilayerGraphs.jl
Julia package for the creation and analysis of multilayer graphs
MultilayerGraphs.jl is a Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs. A multilayer graph is a graph consisting of multiple standard subgraphs called layers which can be interconnected through bipartite graphs called interlayers composed of the vertex sets of two different layers and the edges between them. The vertices in each layer represent a single set of nodes, although not all nodes have to be represented in... -
17
REST API Response Builder for Laravel
Builds nice, normalized and easy to consume REST JSON responses
...ResponseBuilder is written for REST API developers by REST API developers and is based on long-lasting experience on both "sides" of API. It's lightweight, with no dependencies, extensively tested, and simple to use yet flexible and powerful, with support for on-the-fly data conversion, localization support, automatic message building, chained APIs, and (hopefully) exhaustive documentation. But that's not all! The JSON structure produced by ResponseBuilder is designed with users of your API in mind, so its structure is predictable and well-defined which makes dealing with your API using ResponseBuilder library a breeze. ... -
18
Obsidian Visual Skills Pack
Generate Canvas, Excalidraw, and Mermaid diagrams from text
LLM-TLDR is a Python-based tool designed to dramatically reduce the amount of code a large language model needs to read by extracting the essential structure and context from a codebase and presenting only the most relevant parts to the model. Traditional approaches often dump entire files into a model’s context, which quickly exceeds token limits; LLM-TLDR instead indexes project structure, traces dependencies, and summarizes code in a way that preserves semantic relevance while shrinking... -
19
MinerU
A high-quality tool for convert PDF to Markdown and JSON
MinerU is an open-source, high-quality document extraction toolkit focused on converting PDFs (and other document formats) into structured Markdown and JSON. It leverages OCR and layout analysis to preserve semantic structure and metadata, ideal for research and data science workflows. -
20
DiscordChatExporter
Saves Discord chat logs to a file
DiscordChatExporter is a cross-platform utility that allows users to export Discord chat histories into structured files for archival, analysis, or backup purposes. The tool connects to Discord accounts and retrieves message history from servers, channels, or direct messages, then converts the data into formats such as HTML or JSON. It is designed to preserve message structure, timestamps, attachments, and formatting so exported conversations remain easy to navigate and review. The project is widely used for moderation audits, research, community archiving, and personal record keeping. With both command-line and GUI usage patterns available through the ecosystem, it supports automation as well as manual workflows. ... -
21
Tree
tree is a library for working with nested data structures
Tree (dm-tree) is a lightweight Python library developed by Google DeepMind for manipulating nested data structures (also called pytrees). It generalizes Python’s built-in map function to operate over arbitrarily nested collections — including lists, tuples, dicts, and custom container types — while preserving their structure. This makes it particularly useful in machine learning pipelines and JAX-based workflows, where complex parameter trees or hierarchical state representations are common. ... -
22
OpenProject
OpenProject is the leading open source project management software
Open source project management software. Efficient classic, agile or hybrid project management in a secure environment. Take control of your data and stay secure. Take back your data ownership, we give you the power to protect your privacy in a secure environment and with highest standards in data security and privacy. OpenProject can be installed on-premises in your own infrastructure, having full control and 100% data ownership. You know where your data is stored and what happens to it, without external influence. ... -
23
ShinyItemAnalysis
Test and Item Analysis via Shiny
...All methods include sample R code which is ready to copy and paste into R and run locally. Several toy data sets are ready to use. You can also upload and analyze your own data. ShinyItemAnalysis provides model equations, parameter estimates and their interpretation. -
24
MolecularGraph.jl
Graph-based molecule modeling toolkit for cheminformatics
MolecularGraph.jl is a graph-based molecule modeling and chemoinformatics analysis toolkit fully implemented in Julia. -
25
MarketData.jl
Time series market data
The MarketData package provides open-source financial data for research and testing. The data is from Quandl and is free end-of-day stock data. It is public domain without restrictions. The TimeSeries TimeArray data structure is used to store the data, but conversion to other data structures, including DataFrames and AxisArrays, is supported.