Discover open source projects across all platforms

Discover open source projects across all platforms.

WinkNLP is a JavaScript library for Natural Language Processing (NLP). Designed specifically to make development of NLP applications easier and faster, winkNLP is optimized for the right balance of performance and accuracy. It is built ground up with a lean code base that has no external dependency. It has full Typescript support and runs on Node.js and browsers.
WinkNLP has a comprehensive natural language processing (NLP) pipeline covering tokenization, sentence boundary detection (sbd), negation handling, sentiment analysis, part-of-speech (pos) tagging, named entity recognition (ner), custom entities recognition (cer). WinkNLP can easily process large amount of raw text at speeds over 650,000 tokens/second &nbsp;on a M1 Macbook Pro in both browser and Node.js environments. It even runs smoothly on a low-end smartphone's browser.
WinkNLP can process multilingual text string, identifies the boundary of different languages in the string. It comes with pre-trained language models for Sentence Boundary Detection, Sentiment Analysis, Part-of-speech tagging.&nbsp;
<pre class="language-bash"><code>npm install wink-nlp --save</code></pre>

WinkNLP is a JavaScript library for Natural Language Processing (NLP). Designed specifically to make development of NLP applications easier and faster, winkNLP is optimized for the right balance of performance and accuracy.

WinkNLP - Developer friendly Natural Language Processing

River is a fast and reliable background jobs in Go. River jobs never run before your transaction completes, and are never lost. River supports Transactional enqueueing, This model avoids several common failure modes of background jobs in a distributed application.
One of the biggest benefits of River is that jobs can be enqueued transactionally and atomically along with other database changes. Once a job is committed to the database, River will not lose track of it and will ensure that it is executed. When River jobs encounter an error or other failure, they are automatically retried after a delay.&nbsp;
River supports batch inserts, wherein many jobs are inserted at once using Postgres' COPY FROM protocol for optimal performance. If a worker recognizes that a job will never succeed, it can be cancelled permanently. It also provides an interface to handle errors and panics for custom application telemetry and to provide execution feedback.
Jobs are worked according to assigned priority, important jobs are processed first. Each named queue is processed independently and won't block other queues. It does graceful shutdown, Waits for active jobs to complete before exiting.
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River is a fast and reliable background jobs in Go. River jobs never run before your transaction completes, and are never lost. River supports Transactional enqueueing, This model avoids several common failure modes of background jobs in a distributed application.

River - Fast and reliable background jobs in Go

OpenStatus is open-source synthetic monitoring platform with beautiful status page. It helps to
<ul>
<li>Check if your endpoint is up and running with one click</li>
<li>Define the region where to call the request and the frequency how often to call it.</li>
<li>Add your own custom headers</li>
<li>Generate alerts on failure&nbsp;</li>
</ul>

OpenStatus is open-source synthetic monitoring platform with beautiful status page.

OpenStatus - The open-source monitoring platform

Hyperswitch is an open source payments switch to make payments fast, reliable, and, affordable. It lets you connect with multiple payment processors and route traffic effortlessly, all with a single API integration.
Hyperswitch reduces the dependency on a single processor like Stripe or Braintree. It actually supports more than 50+ payment processors and multiple global payment methods. It unifies the payment processing and reduces the dev effort. It has high success rate and it reduces the processing fees using smart routing. Most importantly it mproves success rates by handling failover and auto-retries.
Hyperswitch hosted version has PCI, GDPR, Card Vault complaince. If we need to use the open source version then we need to take this compliance.&nbsp;&nbsp;

Hyperswitch is an open source payments switch to make payments fast, reliable, and, affordable. It lets you connect with multiple payment processors and route traffic effortlessly, all with a single API integration.

Hyperswitch - Open-source Payments Switch

Trigger.dev is an open source framework for creating long-running Jobs directly in your app with API Integrations, webhooks, scheduling and delays. You can reliably run Jobs that wouldn&rsquo;t normally work in serverless environments because of timeouts.
Trigger.dev is a platform, SDK and API for building and running Jobs in your codebase, triggered by various sources, but without having to worry about managing any complicated orchestration infrastructure. It can help to build event-driven architectures without having to manage any complicated orchestration infrastructure. It provides out-of-the-box Integrations with popular services such as <a href="https://trigger.dev/docs/integrations/apis/slack" target="_blank" rel="noopener">Slack</a>, <a href="https://trigger.dev/docs/integrations/apis/openai" target="_blank" rel="noopener">OpenAI</a>, <a href="https://trigger.dev/docs/integrations/apis/github" target="_blank" rel="noopener">GitHub</a> and <a href="https://trigger.dev/docs/integrations" target="_blank" rel="noopener">more</a>, which vastly simplifies the process interacting with 3rd-party services.
It has few limitations, Currently Trigger.dev is optimized for deployment to serverless functions, but not for long-running servers. It is not well suited for compute intensive jobs as each individual task.&nbsp;

Trigger.dev is the open source background jobs framework for TypeScript. With features like API integrations, webhooks, scheduling and delays. 

Trigger.dev - Background Jobs Framework 

Swirl is open-source software that uses AI to simultaneously search multiple content and data sources and return AI ranked results which can be used to prompt Generative AI, enabling you to get answers based on your own data.
Swirl can connect to SQL and NoSQL databases, Enterprise sources (Microsoft 365, Jira, Miro etc.). It has support of around 40 connectors from where it can connect and pull the data. It helps to discover and generate the answers you need based on your data using AI and LLMs like ChatGPT. It also supports metasearch, and federated search.
Swirl distributes user queries with a search API tp search engines, databases, noSQL engines, cloud/SaaS services, data siloes, etc. And uses Large Language Models to re-rank the unified results without extracting or indexing anything.

Swirl is open source software that simultaneously searches multiple content sources and returns AI ranked results. Prompt your choice of Generative AI using the top N results to get answers incorporating your own data.

Swirl - AI based Search Platform

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Payload is a headless CMS and application framework. It&rsquo;s meant to provide a massive boost to your development process, but importantly, stay out of your way as your apps get more complex. Payload is a config-based, code-first CMS and application framework. The Payload config is central to everything that Payload does. It scaffolds the data that Payload stores as well as maintains custom React components, hook logic, custom validations, and much more.
Payload dynamically generates a beautiful, fully functional React admin panel to manage your data. It's extremely powerful and can be customized / extended upon easily by swapping in your own React components. Payload supports <a href="mongodb.com/" target="_blank" rel="noopener">MongoDB</a> and <a href="https://www.postgresql.org/" target="_blank" rel="noopener">PostgreSQL</a> database and it uses database adaptor to interact with database. &nbsp;MongoDB is a preferred choice but if you want a relational database then choose Postgres.
Its other features include Rich text editor, Web hooks, Live preview, Authentication, GraphQL, Rest API and lot more.
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Payload is a headless CMS and application framework. It’s meant to provide a massive boost to your development process, but importantly, stay out of your way as your apps get more complex.

Payload -  Headless CMS and Application Framework

JVector is a pure Java, zero dependency, embedded vector search engine, used by DataStax Astra DB.
JVector uses state of the art graph algorithms inspired by DiskANN and related research that offer high recall and low latency. It uses the Panama SIMD API to accelerate index build and queries. It is memory efficient, compresses vectors using product quantization so they can stay in memory during searches.
JVector is concurrent, its index can scale linearly to 32 threads.

JVector - The most advanced embedded vector search engine

Arguflow is a truly all-in-one service for hosting AI powered semantic search and LLM retrieval-augmented generation (RAG) on your data.
Semantic search is the core feature. With traditional lexical search (google, duckduckgo, etc.) you search for a word or phrase and the search engine returns results that contain that word or phrase. With semantic search you search for a concept and the search engine returns results that contain that concept.
Arguflow creates embeddings for you, store them in a vector db, and coordinate metadata joins with a transactional db. It includes best in class API for data servicing and white-label UI's for semantic / full-text search and source-cited llm-chat. User can pick any SQL database compatible with diesel for &nbsp;OLTP storage and choose any vector database of their choice.
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Build AI powered semantic search and LLM retrieval-augmented generation (RAG) fast


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