Search Results for "data structures" - Page 7
Sort By:
Showing 330 open source projects for "data structures"
View related business solutions-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
XML Editor/Validator/Designer with CAMV
CAM XML Editor for XML+JSON+Hibernate+SQL Open-XDX sponsored by Oracle
The CAM editor is the leading open source XML Editor/Validation/Schema toolset for rapidly building / deploying XML /JSON /Hibernate /SQL data /Forms applications. Visual WYSIWYG data design, rule entry wizards + drag & drop dictionary components. Will import, analyze / refactor from XML Schema / JSON. Oracle is a proud enterprise sponsor; with NIEM.gov support. Do SQL data import/map+ Open Data API delivery+ Hibernate JPA + UI Forms/Pencil Makes XSD schema (default, flatten, NIEM, &... -
2
Flat file extractor can be used for reading and parsing different flat file structures and printing them in different formats. ffe is a command line tool developed in GNU/Linux environment and it is distributed under GPL. Project moved to https://github.com/igitur/ffe
-
3
interactive-coding-challenges
120+ interactive Python coding interview challenges
Interactive Coding Challenges is a collection of practice problems designed to strengthen data structures, algorithms, and problem-solving skills. The repository emphasizes a learn-by-doing approach: you read a prompt, attempt a solution, and verify behavior with tests, often within notebooks or scripts. Problems span arrays, strings, stacks, queues, linked lists, trees, graphs, dynamic programming, and more, mirroring common interview themes. -
4
immutability-helper
Mutate a copy of data without changing the original source
...However, we've provided a simple immutability helper, update(), that makes dealing with this type of data much easier, without fundamentally changing how your data is represented. You can also take a look at Facebook's Immutable.js and React’s Using Immutable Data Structures section for more detail on Immutable.js. You have no way of determining which data has changed since the previous copy has been overwritten. Instead, you need to create a new copy of myData and change only the parts of it that need to be changed. -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
-
5
Forms
An easy way to create, parse and validate forms in node.js
Forms is a Node.js library designed to simplify the creation, validation, and handling of web forms on the server side, providing a structured approach to managing user input. It allows developers to define form schemas using a declarative API, specifying fields, validation rules, and data transformations in a consistent format. The library supports a wide range of input types, including text, numbers, dates, and custom fields, making it adaptable to different application needs. It includes... -
6
nodebook
Multi-Lang Web REPL
Useful to practice algorithms and data structures for coding interviews. Nodebook is an in-browser REPL supporting many programming languages. Code's on the left, Console's on the right. Click "Run" or press Ctrl+Enter or Cmd+Enter to run your code. Code is automatically persisted on the file system. You can also use Nodebook directly on the command line, running your notebooks upon change. -
7
AhoCorasickDoubleArrayTrie
An extremely fast implementation of Aho Corasick algorithm
AhoCorasickDoubleArrayTrie is a Java implementation of the Aho–Corasick multi-pattern matching algorithm that is optimized using a Double-Array Trie data structure. It is designed for fast keyword scanning across large texts, where you want to search for many patterns simultaneously and efficiently. The core idea is to build an automaton from a dictionary of patterns, then stream through input text to emit matches with minimal overhead. By using a double-array trie representation, the project emphasizes performance and memory efficiency compared to simpler pointer-heavy trie structures, which can matter a lot for large dictionaries or latency-sensitive services. ... -
8
Gaea Editor
Design websites in your browser
...It provides a block-based editing system where users can create complex layouts using modular components, similar to modern visual editors. The project emphasizes developer control, allowing customization of editor behavior, plugins, and data structures. It supports rich text formatting, media embedding, and dynamic content generation, making it suitable for content management systems and applications requiring advanced editing capabilities. The architecture is designed to separate content structure from presentation, enabling better maintainability and scalability. It likely includes APIs for integrating with backend systems and storing content in structured formats. ... -
9
List
An immutable list with unmatched performance and functional API
An immutable list with unmatched performance and a comprehensive functional API. List is a purely functional alternative to arrays. It is an implementation of a fast persistent sequence data structure. Compared to JavaScript Array List has three major benefits. List is immutable. This makes it safer and better suited for functional programming. It doesn't tempt you with an imperative API and accidental mutations won't be a source of bugs. Since List doesn't allow mutations it can be heavily... -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
10
nlp_chinese_corpus
Large Scale Chinese Corpus for NLP
nlp_chinese_corpus is a large-scale Chinese corpus collection for natural language processing research and development. It was created to make high-volume Chinese text data easier to access for students, researchers, and practitioners. The repository gathers several major datasets, including Chinese Wikipedia entries, news articles, encyclopedia-style question answering data, community question answering data, and Chinese-English translation sentence pairs. Each dataset includes... -
11
GoJay
high performance JSON encoder/decoder with stream API for Golang
...To consume a flow of JSON objects from a TCP connection for example or from a standard output. The same way I wanted to build an encoder that could encode a flow of data to a io.Writer. -
12
Personal Blog
One article per week, the content is concise, neither salty nor light
...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 GitHub repo remains the canonical archive of links and categories. Articles are grouped by topic domains such as architecture, Spring Boot, Spring Cloud, Dubbo, Hystrix, Kafka, Redis, gateways, microservices, JVM tuning, and data structures, with each entry linking out to full posts on iocoder.cn. This makes the repo act as a navigable table of contents and knowledge map for a large body of Chinese-language backend engineering content. It also includes “toolbox” and miscellaneous categories. -
13
libtdata
Libtdata is a C library implements trees, index allocation and bit ops
Libtdata is a small and portable C library implements a set of various search data structures, bit operations and index allocation. -
14
Dumper.js
A better and pretty variable inspector for your Node.js applications
Dumper.js is a small JavaScript utility for pretty-printing or serializing JavaScript objects and data structures in a human-readable, tree-like format — useful for debugging, logging, or inspecting complex nested data. When you pass an object (or array, or nested structure) through dumper.js, it outputs a representation that shows keys, nested depth, and structure clearly, making it easier to understand what’s inside compared to default JSON dumps or console.log clutter. ... -
15
Code Catalog in Python
Algorithms and data structures for review for coding interview
code-catalog-python serves as a grab-bag of small, readable Python examples that illustrate common algorithms, data structures, and utility patterns. Each snippet aims to be self-contained and easy to study, with clear inputs, outputs, and the essential logic on display. The catalog format lets you scan for an example, copy it, and adapt it to your use case without wading through a large framework. It favors clarity over micro-optimizations so learners can grasp the idea before worrying about edge performance. ... -
16
PHPExcel
Library offering classes to read from and write to spreadsheet formats
...Developers can create complex spreadsheets with styled cells, formulas, charts, images, and multiple sheets programmatically. It also supports reading existing files, iterating through cells, applying data validation, and converting between formats. Because it handles the details of Excel file structures—including relationships, themes, and various metadata—users don’t need to manage proprietary file internals themselves. The API allows for cell access using row/column indexes or column letters, batch updates, and streaming writes to reduce memory usage. ... -
17
concordia
Powerful search library, best suited for computer-aided translation
...It uses a RAM stored index, which takes up approximately 600MB of memory for a corpus of 2 million sentences. It is based on the idea of a suffix array, enhanced by the presence of other auxiliary data structures. The effects are stunning - Concordia is able to do simple substring lookup at the pace of 5000 queries per second (on personal PC) - a speed which can not be achieved by any other search library. Moreover, Concordia can perform its own "concordia search". For a given input sentece, all substring matches covering this sentence are retrieved. ... -
18
Play-With-Sort-OC
Repository implemented in Objective-C with sorting algorithms
...The goal is educational; by showing how each algorithm works with animations or clear visualizations in an iOS/Objective-C context, the author helps developers understand not just the “how” but also the “why” behind each algorithm. The repo is especially suited for developers working in the Apple ecosystem (Objective-C, Xcode) who want to build foundational knowledge in data structures and algorithms. By making the code accessible, it lowers the barrier to exploring algorithm performance, variant comparisons, and understanding underlying complexity. For learners, it offers a bridge between abstract algorithm descriptions in textbooks and real code you can compile, run, tweak, and visualize. -
19
tcomb
Type checking and DDD for JavaScript
tcomb is a JavaScript library for defining and checking runtime types in Node.js and browser environments. It gives developers a concise syntax for modeling values, structures, interfaces, enums, unions, refinements, and other domain-level constraints. The library is useful in JavaScript projects where static type information is unavailable or insufficient at runtime. It can validate external inputs, document data expectations, and support safer programming patterns without requiring a full type system migration. tcomb also serves as the foundation for related projects such as tcomb-validation and tcomb-form. ... -
20
seamless-immutable
Immutable data structures for JavaScript
Immutable JS data structures which are backwards-compatible with normal Arrays and Objects. Use them in for loops, pass them to functions expecting vanilla JavaScript data structures, etc. Whenever you deeply clone large nested objects, it should typically go much faster with Immutable data structures. This is because the library reuses the existing nested objects rather than instantiating new ones. -
21
Data Algorithm/leetcode/lintcode
Data Structure and Algorithm notes
This work is some notes of learning and practicing data structures and algorithms. Part I is a brief introduction of basic data structures and algorithms, such as, linked lists, stack, queues, trees, sorting and etc. This book notes about learning data structure and algorithms. It was written in Simplified Chinese but other languages such as English and Traditional Chinese are also working in progress. -
22
Ponder
C++ reflection library with Lua binding, and JSON and XML
...It provides an abstraction for most of the high-level concepts of C++ like classes, enumerations, properties, functions, and objects. By wrapping all these concepts into abstract structures, Ponder provides an extra layer of flexibility to programs and allows them to expose and manipulate their data structures at runtime. Many applications can take advantage of Ponder, in order to automate tasks that would otherwise require a huge amount of work. For example, Ponder can be used to expose and edit objects' attributes in a graphical user interface. ... -
23
Android-State
A utility library for Android to save objects in a Bundle
...After that you only need to annotate your fields with @State inside of your fragments and activities. You can save any type which can be saved in a Bundle like the String, Serializable, and Parcelable data structures. -
24
Skater
Python library for model interpretation/explanations
Skater is a unified framework to enable Model Interpretation for all forms of the model to help one build an Interpretable machine learning system often needed for real-world use-cases(** we are actively working towards to enabling faithful interpretability for all forms models). It is an open-source python library designed to demystify the learned structures of a black box model both globally(inference on the basis of a complete data set) and locally(inference about an individual prediction). The concept of model interpretability in the field of machine learning is still new, largely subjective, and, at times, controversial. Model interpretation is the ability to explain and validate the decisions of a predictive model to enable fairness, accountability, and transparency in algorithmic decision-making. ... -
25
jsondata
Modular JSON by trees and branches, pointers and patches
The 'jsondata' package provides for the modular in-memory processing of JSON data by trees, branches, pointers, and patches. The main interface classes are: - JSONData - Core for RFC7159 based data structures. Provides modular data components. - JSONDataSerializer - Core for RFC7159 based data persistence. Provides modular data serialization. - JSONPointer - RFC6901 for addressing by pointer paths. Provides pointer arithmetics...
