Search Results for "process"
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Showing 25 open source projects for "process"
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Roarr
JSON logger for Node.js and browser
JSON logger for Node.js and browser. A transport in most logging libraries is something that runs in-process to perform some operation with the finalized log line. For example, a transport might send the log line to a standard syslog server after processing the log line and reformatting it. Roarr does not support in-process transports because Node processes are single threaded processes (ignoring some technical details). Given this restriction, Roarr purposefully offloads handling of the logs to external processes so that the threading capabilities of the OS can be used (or other CPUs). -
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D++
C++ Discord API Bot Library - D++ is Lightweight and scalable
D++ is a lightweight and simple library for Discord written in modern C++. It is designed to cover as much of the API specification as possible and to have an incredibly small memory footprint, even when caching large amounts of data. It is created by the developer of TriviaBot and contributed to by a dedicated team of developers. -
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Jbuilder
Generate JSON objects with a Builder-style DSL
Jbuilder gives you a simple DSL for declaring JSON structures that beats manipulating giant hash structures. This is particularly helpful when the generation process is fraught with conditionals and loops. You can either use Jbuilder stand-alone or directly as an ActionView template language. When required in Rails, you can create views à la show.json.jbuilder (the json is already yielded). Fragment caching is supported, it uses Rails.cache and works like caching in HTML templates. If your collection cache depends on multiple sources (try to avoid this to keep things simple), you can name all these dependencies as part of a block that returns an array. -
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Open Policy Agent
An open source, general-purpose policy engine
Policy-based control for cloud-native environments. Flexible, fine-grained control for administrators across the stack. Stop using a different policy language, policy model, and policy API for every product and service you use. Use OPA for a unified toolset and framework for policy across the cloud-native stack. Whether for one service or for all your services, use OPA to decouple policy from the service's code so you can release, analyze, and review policies (which security and compliance... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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conf
Simple config handling for your app or module
All you have to care about is what to persist. This module will handle all the dull details like where and how. It does not support multiple processes writing to the same store. I initially made this tool to let command-line tools persist some data. -
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Figma Sprite Generator
A Figma plugin to generate sprite sheets and JSON files from selected
...This tool is ideal for designers and developers working on web projects or UI libraries, as it automates sprite generation for more efficient workflows. Users can quickly convert their icons into PNG sprites and extract JSON files with icon dimensions and positions, streamlining the process of incorporating sprites into websites or applications. -
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log4rs
A highly configurable logging framework for Rust
...By default the gzip feature is enabled and when rolling files it will zip log archives automatically. This is a problem when the log archives are large as the zip happens in the main thread and will halt the process while the zip is completed. Be advised that the gzip feature will be removed from default features as of 1.0. -
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getty
Asynchronous network I/O library
...One handles the reading of TCP streams, UDP packets, or WebSocket packages, while the other manages the logic processing and writes responses into the network write buffer. If your logic processing might take a considerable amount of time, it's recommended to start a new logic process goroutine yourself within codec.go's (Codec)OnMessage method. Additionally, you can manage heartbeat logic within the (Codec)OnCron method in codec.go. If you're using TCP or UDP, you should send heartbeat packages yourself and then call session.go's (Session)UpdateActive method to update the session's activity timestamp. You can verify if a TCP session has timed out or not in codec.go's (Codec)OnCron method using session.go's (Session)GetActive method. -
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jsonrepair
Repair invalid JSON documents
...The project focuses on automation and fault tolerance, reducing the need for manual cleanup of corrupted JSON data. Its lightweight architecture and practical functionality have made it valuable for modern applications that process unpredictable structured text. -
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.
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Manfred Awesomic CV
Manfred Awesomic CV
...Manfred is committed to the idea that every person should keep control over their personal and professional data. This means that they should be able to export their data from any platform in a machine-readable format with a Model Definition to process that data efficiently. This is how the MAC was born. -
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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. The foundation data structure of Jina, CLIP-as-service, DALL·E Flow, DiscoArt etc. Data science powerhouse: greatly accelerate data scientists’ work on embedding, k-NN matching, querying, visualizing, evaluating via Torch/TensorFlow/ONNX/PaddlePaddle on CPU/GPU. ... -
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Connexion
Swagger/OpenAPI First framework for Python on top of Flask
...You are free to describe your REST API with as much detail as you want and then Connexion guarantees that it will work as you specified. We built Connexion this way in order to simplify the development process. Reduce misinterpretation about what an API is going to look like. With Connexion, you write the spec first. Connexion then calls your Python code, handling the mapping from the specification to the code. This incentivizes you to write the specification so that all of your developers can understand what your API does, even before you write a single line of code. -
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ObjectMapper
Simple JSON Object mapping written in Swift
...ObjectMapper supports dot notation within keys for easy mapping of nested objects. ObjectMapper also supports custom transforms that convert values during the mapping process. To use a transform, simply create a tuple with map["field_name"] and the transform of your choice on the right side of the <- operator. -
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SwiftyJSON
Facilitates the use of JSON data in Swift
Swift is strictly specific about types. But even if explicit typing is good for avoiding making mistakes, it becomes painful when we're dealing with JSON and other aspects that are, by definition, implicit about types. SwiftyJSON, however, facilitates the use of JSON data in Swift. -
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uvicorn-gunicorn-fastapi
Docker image with Uvicorn managed by Gunicorn
Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning. Optionally with Alpine Linux. -
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jQuery Form
jQuery form plugin
...The jQuery Form Plugin allows you to easily and unobtrusively upgrade HTML forms to use AJAX. The main methods, ajaxForm and ajaxSubmit, gather information from the form element to determine how to manage the submit process. Both of these methods support numerous options which allows you to have full control over how the data is submitted. Submitting a form with AJAX doesn’t get any easier than this! When this form has been submitted the name and comment fields will be posted to comment.php. If the server returns a success status then the user will see a “Thank you” message. ... -
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HotTurtles_projet_GL02
This app can sort mails, using a list of mails and collaborators.
Using MailParser, you will be able to sort your enterprise's mail, using only the key arrows of you computer. You can select mails and contact from a collaborator, and sort with a top 10, a list of buzzy days, etc... Also, you can decide to visualize the result directly in your command prompt, or export it. -
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TradingView Chart Data Extractor
Extract price and indicator data from TradingView charts
Ensure that you zoom/pan such that the oldest date you desire is visible on TradingView before publishing the chart. Too many indicators or too low a time resolution will increase the data points and potentially overload the free server. Avoid this by hosting/running the script on your local machine or scraping multiple times with fewer indicators and manually combining the CSV afterward. Simply append the URL of a chart/idea published on TradingView to the link below. This is not the URL of... -
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Himalaya
JavaScript HTML to JSON Parser
...Himalaya is synchronous and does not require any complicated callbacks. Himalaya does not cut corners and returns an accurate representation of the HTML supplied. To remove whitespace, post-process the JSON; check out an example script. Himalaya can include the start and end positions of nodes in the parse output. To enable this, you can pass parse the parseDefaults extended with includePositions: true. Himalaya provides a stringify method. The following example parses the HTML to JSON then parses the JSON back into HTML. -
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Decodable
Swift 2/3 JSON unmarshalling done (more) right
Simple and strict, yet powerful object mapping is made possible by Swift 2's error handling. Greatly inspired by Argo, but without a bazillion functional operators. -
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Pikkr
JSON parser to pick up values directly without performing tokenization
...Creates an index which maps logical locations of queried fields to their physical locations by using SIMD instructions and bit manipulation. Finds values of queried fields by scanning a JSON record using the index created in the previous process and learns their logical locations (i.e. pattern of the JSON structure) in the early stages. Speculates logical locations of queried fields by using the learned result information, jumps directly to their physical locations and extracts values in the later stages. Fallbacks to basic parsing if the speculation fails. -
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DJSON
Fast Go decoder for dynamic JSON
DJSON is a JSON decoder for Go that is 2~ to 3~ times faster than the standard encoding/json and the existing solutions when dealing with arbitrary JSON payload. It is a good approach for people who are using json.Unmarshal together with interface, don't know what the schema is, and still want good performance with minimal changes. DJSON is faster and allocates less memory than the other alternatives. -
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quick-json parser
parse/generate json the way you want quickly. configure/validate json
- quick-json features - # Compliant with JSON specification (RFC4627) # High-Performance JSON parser # Supports Flexible/Configurable parsing approach # Configurable validation of key/value pairs of any JSON Heirarchy # Easy to use # Very Less foot print # Raises developer friendly and easy to trace exceptions # Pluggable Custom Validation support - Keys/Values can be validated by configuring custom validators as and when encountered # Validating and Non-Validating parser support # Support for two types of configuration (JSON/XML) for using quick-json validating parser # Require JDK 1.5 # No dependency on external libraries # Support for Json Generation through object serialization # Support for collection type selection during parsing process -
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Aurora Application Server is a new Python Web Application Server and Framework. The main goal of the project is to provide the developer with a complete set of tools to speed up the application development process. See project wiki for more information.
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The system gives us flexibility. Flexibility in the development of various solutions. The modular design and extensive use of the PLO makes the process of developing new modules to the site easy and enjoyable exercise.
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