Fuzzy search with bias towards matching tokens
Framework-agnostic tokenized search component with advanced filtering
Library to simplify tokenized search
Library to simplify tokenized search
Graph-based memory system for AI agents. Store people, places, organizations as nodes. Build semantic relationships (KNOWS, WORKS_AT, CREATED). Word-tokenized search finds partial matches. Filter by date, traverse relationships, maintain temporal context.
tokenizer of source code for jscpd
Algorithms to help you parse CSS from an array of tokens.
Inquirer search prompt
Lightweight fuzzy-search
Search functionality for the CodeMirror code editor
Find and load configuration from a package.json property, rc file, TypeScript module, and more!
Parse Japanese text and output as NLCST.
Library for reporting click, conversion and view metrics using the Algolia Insights API
JavaScript client for client-search
Algolia search component for Docusaurus.
A command for searching commands
MermaidJS parser
This package provides support for the [RediSearch](https://redis.io/docs/interact/search-and-query/) module, which adds indexing and querying support for data stored in Redis Hashes or as JSON documents with the [RedisJSON](https://redis.io/docs/data-type
A complete search engine and RAG pipeline in your browser, server, or edge network with support for full-text, vector, and hybrid search in less than 2kb.
Tiny but powerful full-text search engine for browser and Node
Azure client library to use AI Search for node.js and browser.
MCP server to buy/sell tokenized US stocks (Dinari dShares) paying directly in USDC. Daily USD cap guard built in. Sandbox-only by default. Sibling to alpaca-guard-mcp and pay-per-call-mcp.
match a tokenized html stream with css selectors
Verdaccio Search Indexer
Provides regex-based searches on sequences of arbitrary objects. Developed for querying Ruby token streams, object_regex only requires that the objects you are searching implement a single method that returns a string.
Separa splits chunks of text into tokens to be indexed by Busca, the simple redis search
stringtree is design to allow efficient partial string searches/autocomplete and tokenization
Filtra filters an array of tokens or words so they can be indexed by Busca, the simple redis search
Match strings approximately using multiple algorithms: Levenshtein edit distance, Damerau-Levenshtein with transpositions, Jaro-Winkler similarity, Dice coefficient, Hamming distance, and Longest Common Subsequence. Includes token-based matching, weighted scoring, Soundex and Metaphone phonetic matching, ranked search, and deduplication.
A Ruby gem wrapping the legendary Rust Aho-Corasick algorithm! Aho-Corasick is a powerful string searching algorithm that finds multiple patterns simultaneously in a text. Features include overlapping matches, case-insensitive search, find & replace, match positions, and configurable match strategies. Perfect for content filtering, tokenization, and multi-pattern search at lightning speed! (ノ◕ヮ◕)ノ*:・゚✧
A CLI tool that downloads the most recent images from twitter based on the search terms provided. Please remember that you need to provide your own consumer key and consumer secret as well as the access token and access token secret. You can find those over here: https://apps.twitter.com Just create a placeholder app and generate the required credentials.
Search GitHub code or gists for .env files containing high-entropy secrets like tokens and keys.
Multiple chunking strategies to split documents into optimal pieces for embedding and vector search. Supports character, recursive, sentence, markdown, HTML, code, token, and semantic splitting.
A lightweight, idiomatic Ruby wrapper for the odin.fun public API. Provides easy access to token information, trades, search, and other endpoints.
REST API for electronic invoicing in France: Factur-X (CII), UBL 2.1, AFNOR PDP/PA, electronic signatures. ## 🎯 Main Features ### 📄 Invoice Generation - **Formats**: CII XML, UBL 2.1 XML, or Factur-X PDF/A-3 - **Profiles** (CII/PDF): MINIMUM, BASIC, EN16931, EXTENDED - **UBL**: Always EN16931 compliant - **Standards**: EN 16931 (EU directive 2014/55), ISO 19005-3 (PDF/A-3), CII (UN/CEFACT), UBL 2.1 (OASIS) - **Simplified Format**: Generation from SIRET + auto-enrichment (Chorus Pro API + Business Search) ### ✅ Factur-X - Validation - **XML Validation**: Schematron (45 to 210+ rules depending on profile) - **PDF Validation**: PDF/A-3, Factur-X XMP metadata - **VeraPDF**: Strict PDF/A validation (146+ ISO 19005-3 rules) ### ✍️ Electronic Signature - **Standards**: PAdES-B-B, PAdES-B-T (RFC 3161 timestamping), PAdES-B-LT (long-term archival) - **eIDAS Levels**: SES (self-signed), AdES (commercial CA), QES (QTSP) - **Validation**: Cryptographic integrity and certificate verification ### 📋 Flux 6 - Invoice Lifecycle (CDAR) - **CDAR Messages**: Acknowledgements, invoice statuses - **PPF Statuses**: REFUSED (210), PAID (212) ### 📊 Flux 10 - E-Reporting - **Tax Declarations**: International B2B, B2C - **Flow Types**: 10.1 (B2B transactions), 10.2 (B2B payments), 10.3 (B2C transactions), 10.4 (B2C payments) ### 📡 AFNOR PDP/PA (XP Z12-013) - **Flow Service**: Submit and search flows to PDPs - **Directory Service**: Company search (SIREN/SIRET) - **Multi-client**: Support for multiple PDP configs per user ### 🏛️ Chorus Pro - **Public Sector Invoicing**: Complete API for Chorus Pro ### ⏳ Async Tasks - **Celery**: Asynchronous generation, validation and signing - **Polling**: Status tracking via `/tasks/{task_id}/status` - **Webhooks**: Automatic notifications when tasks complete ## 🔒 Authentication All requests require a **JWT token** in the Authorization header: ``` Authorization: Bearer YOUR_JWT_TOKEN ``` ### How to obtain a JWT token? #### 🔑 Method 1: `/api/token/` API (Recommended) **URL:** `https://factpulse.fr/api/token/` This method is **recommended** for integration in your applications and CI/CD workflows. **Prerequisites:** Having set a password on your account **For users registered via email/password:** - You already have a password, use it directly **For users registered via OAuth (Google/GitHub):** - You must first set a password at: https://factpulse.fr/accounts/password/set/ - Once the password is created, you can use the API **Request example:** ```bash curl -X POST https://factpulse.fr/api/token/ \ -H "Content-Type: application/json" \ -d '{ "username": "your_email@example.com", "password": "your_password" }' ``` **Optional `client_uid` parameter:** To select credentials for a specific client (PA/PDP, Chorus Pro, signing certificates), add `client_uid`: ```bash curl -X POST https://factpulse.fr/api/token/ \ -H "Content-Type: application/json" \ -d '{ "username": "your_email@example.com", "password": "your_password", "client_uid": "550e8400-e29b-41d4-a716-446655440000" }' ``` The `client_uid` will be included in the JWT and allow the API to automatically use: - AFNOR/PDP credentials configured for this client - Chorus Pro credentials configured for this client - Electronic signature certificates configured for this client **Response:** ```json { "access": "eyJ0eXAiOiJKV1QiLCJhbGc...", // Access token (validity: 30 min) "refresh": "eyJ0eXAiOiJKV1QiLCJhbGc..." // Refresh token (validity: 7 days) } ``` **Advantages:** - ✅ Full automation (CI/CD, scripts) - ✅ Programmatic token management - ✅ Refresh token support for automatic access renewal - ✅ Easy integration in any language/tool #### 🖥️ Method 2: Dashboard Generation (Alternative) **URL:** https://factpulse.fr/api/dashboard/ This method is suitable for quick tests or occasional use via the graphical interface. **How it works:** - Log in to the dashboard - Use the "Generate Test Token" or "Generate Production Token" buttons - Works for **all** users (OAuth and email/password), without requiring a password **Token types:** - **Test Token**: 24h validity, 1000 calls/day quota (free) - **Production Token**: 7 days validity, quota based on your plan **Advantages:** - ✅ Quick for API testing - ✅ No password required - ✅ Simple visual interface **Disadvantages:** - ❌ Requires manual action - ❌ No refresh token - ❌ Less suited for automation ### 📚 Full Documentation For more information on authentication and API usage: https://factpulse.fr/documentation-api/
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, grammar and spelling correction, keywords and keyphrases extraction, chatbot, product description and ad generation, intent classification, text generation, image generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, speech synthesis, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API. This is the Ruby client for the API. More details here: https://nlpcloud.com. Documentation: https://docs.nlpcloud.com.
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