Search Results for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files" - Page 10
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Showing 495 open source projects for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files"
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Melis Platform is an enterprise-grade Low Code Platform simplifying app creation, management, and delivery.Melis is a new generation of Content Management System and eCommerce platform to achieve and manage websites from a single web interface easy to use while offering the best of open source technology.
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Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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Suretype
Typesafe JSON (Schema) validator
Suretype is a JSON validator targeting TypeScript and JSON Schema. It is ridiculously type-safe when used in TypeScript, which is good for accuracy, but also for aiding IDE auto-complete. It's as easy as Joi, but ~70x faster. It's (at least) as typesafe as Superstruct, but ~100x faster. ~2500x faster than Zod and ~1600x faster than ow. It supports most (if not all) of JSON schema, and nothing beyond that, so that the validator schemas written in TypeScript (or JavaScript) can be ensured to... -
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DefiantJS
Provides the ability for you to build smart templates applications
Do you need to query large JSON structures? Do you end up coding loops to parse the JSON and identify the data that matches your query? Defiant offers a better way. Defiant extends the global JSON object with a "search" method that enables lightning-fast searches using XPath expressions. Try out the XPath Evaluator to get the idea. DefiantJS provides the ability for you to build smart templates applicable on JSON structures, based upon proven & standardized technologies such as XSLT and XPath. ... -
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Nano JSON
Lightweight, facility, high performance golang based game server
Nano is an easy-to-use, fast, lightweight game server networking library for Go. It provides a core network architecture and a series of tools and libraries that can help developers eliminate boring duplicate work for common underlying logic. The goal of nano is to improve development efficiency by eliminating the need to spend time on repetitious network-related programming. Nano was designed for server-side applications like real-time games, social games, mobile games, etc of all sizes. In... -
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Problems for Spring MVC
A library for handling Problems in Spring Web MVC
Problem Spring Web is a set of libraries that makes it easy to produce application/problem+json responses from a Spring application. It fills a niche, in that it connects the Problem library and either Spring Web MVC's exception handling or Spring WebFlux's exception handling so that they work seamlessly together, while requiring minimal additional developer effort. In doing so, it aims to perform a small but repetitive task — once and for all. -
Project Planning and Management Software | PlanviewPlanview® Portfolios enables enterprises to accelerate strategic execution by seamlessly integrating business and technology planning, optimizing resources, and leveraging the power of embedded AI — Planview Anvi™ — to deliver breakthrough products, services, and customer experiences. This unified approach aligns strategy with execution, driving enhanced business performance across the organization.
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FeatureFlags
Allows developers to configure feature flags
FeatureFlags makes it easy to configure feature flags, A/B and MVT tests via a JSON file which may be bundled with your app or hosted remotely. For remotely-hosted configuration files, you may enable/disable features without another release to the App Store, update the percentages of users in A/B test groups or even roll out a feature previously under A/B test to 100% of your users once you have decided that the feature is ready for prime time. -
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Spartan Schema
Ultra-minimal JSON schemas with Typescript inference
An ultra-minimal, Typescript-compatible alternative to JSON Schema, designed as part of Osmosis. -
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Node Rules
Node-rules is a light weight forward chaining rule engine
Node-rules is a forward chaining Rules Engine, written on node.js. Node-rules is a lightweight forward chaining Rule Engine, written in JavaScript. -
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JSON5
JSON5 — JSON for Humans
...Formally, the JSON5 Data Interchange Format is a superset of JSON (so valid JSON files will always be valid JSON5 files) that expands its syntax to include some productions from ECMAScript 5.1 (ES5). It's also a subset of ES5, so valid JSON5 files will always be valid ES5. This JavaScript library is a reference implementation for JSON5 parsing and serialization and is directly used in many of the popular projects mentioned above. -
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JSLT
JSON query and transformation language
JSLT is a complete query and transformation language for JSON. The language design is inspired by jq, XPath, and XQuery. -
Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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jaggr
JSON Aggregation CLI
Jaggr is a command line tool to aggregate in real time a series of JSON logs. The main goal of this tool is to prepare data for plotting with jplot. So here we give a stream of real-time requests to jaggr standard input and request the aggregation of the code and latency fields. For the code, we request a histogram with some known error codes with an "other" bucket defined by *. The latency field is aggregated using minimum, maximum, and mean. In addition, @count adds an extra field indicating the total number of lines aggregated. ... -
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SPyQL
Query data on the command line with SQL-like SELECTs powered by Python
...SPyQL is a query language that combines the simplicity and structure of SQL with the power and readability of Python. SPyQL offers a command-line interface that allows running SPyQL queries on top of text data (e.g. CSV, JSON). Data can come from files but also from data streams, such as as Kafka, or from databases such as PostgreSQL. Basically, data can come from any command that outputs text :-). More, data can be generated by a Python expression! And since SPyQL also writes to different formats, it allows to easily convert between data formats. -
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unfetch
Bare minimum 500b fetch polyfill
Tiny 500b fetch "barely-polyfill". With a module bundler like rollup or webpack, you can import unfetch to use in your code without modifying any globals. While one of Unfetch's goals is to provide a familiar interface, its API may differ from other fetch polyfills/ponyfills. One of the key differences is that Unfetch focuses on implementing the fetch() API, while offering minimal (yet functional) support to the other sections of the Fetch spec, like the Headers class or the Response class.... -
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SwiftyJSONAccelerator
macOS app to generate Swift 5 code for models from JSON
MacOS app Codeable Model file Generator For Swift 5. A Swift model generator like the Objective-C JSONAccelerator. Formats and generates models for the given JSON and also breaks them into files making it easy to manage and share between several models. -
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dsq
Commandline tool for running SQL queries against JSON, CSV, Excel
Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more. This is a CLI companion to DataStation (a GUI) for running SQL queries against data files. So if you want the GUI version of this, check out DataStation. -
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Twirp
A simple RPC framework with protobuf service definitions
Twirp is a simple RPC framework built on protobuf. You define a service in a .proto specification file, then Twirp will generate servers and clients for that service. It's your job to fill in the "business logic" that powers the server, and then generated clients can consume your service straight away. Twirp routing and serialization reduces the risk of introducing bugs. Both JSON and Protobuf are supported. The Protobuf protocol is designed to allow backwards compatible changes (unlike... -
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JSONlite
Self-contained, serverless, zero-configuration, json document store
A simple, self-contained, serverless, zero-configuration, json document store. JSONlite sandboxes the current working directory similar to SQLite. The JSONlite data directory by default is named jsonlite.data and each json document is validated and saved pretty printed as a uuid. -
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configor
A light weight configuration library for C++
A light weight configuration library for C++11. -
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JSON:API
A specification for building JSON APIs
This repository defines the specification for JSON:API, a standardized format for building APIs with JSON. The goal is to minimize bikeshedding and inconsistency by giving developers a well-documented schema for requests and responses. It specifies how to represent resources, relationships, pagination, sorting, filtering, and metadata in a predictable way. Clients and servers that follow the spec can interoperate seamlessly without custom glue code for every new service. JSON:API also... -
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crossplane
Quick and reliable way to convert NGINX configurations into JSON
Reliable and fast NGINX configuration file parser and builder. Since crossplane is usually used to create payloads that are sent to different servers, it's important to keep security in mind. For that reason, the --ignore option was added. It can be used to keep certain sensitive directives out of the payload output entirely. -
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Jason
A blazing fast JSON parser and generator in pure Elixir
...Jason follows the JSON spec more strictly, for example, it does not allow unescaped newline characters in JSON strings - e.g. "\"\n\"" will produce a decoding error. No support for decoding into data structures (the as: option). No built-in encoders for MapSet, Range and Stream. No support for encoding arbitrary structs - explicit implementation of the Jason.Encoder protocol is always required. Different pretty-printing customization options (default pretty: true works the same). -
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SJSON
Set JSON values very quickly in Go
...Just as GJSON allows fast retrieval, SJSON allows fast mutation: you provide a JSON document, a dot-notation path (including array indices or the special “-1” index for appending), and a new value, and SJSON produces the updated JSON. It supports many data types (numbers, strings, bools, arrays, maps), raw byte paths, and options for in-place replacement. Because it avoids full unmarshalling into structs, it is very efficient for many use-cases where you just need to tweak a JSON document quickly. Paths support appending to arrays, creating intermediate structures if missing, and deleting (via the Delete function). ... -
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JSON Parser
JSON Parser written in C that outputs JSON into D-List list objects
...The JSON data is returned to the caller as a set of hierarchical D-List list objects, that make the data very easy to manage, sort, search or use, and easy to remove when done. Package includes a JSON textural generator which will create JSON grammar data blocks from hierarchical D-List representations of JSON data. The package also includes a variety of support functions to allow C code to easily find, add, and modify JSON values and members in D-List hierarchical structures. -
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akka-http-json
Integrate some of the best JSON libs in Scala with Akka HTTP
akka-http-json provides JSON (un)marshalling support for Akka HTTP. Use respective support trait or object, e.g. ArgonautSupport, FailFastCirceSupport, etc. into your Akka HTTP code which is supposed to (un)marshal from/to JSON. Don't forget to provide the type class instances for the respective JSON libraries, if needed. -
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CloverDB
A lightweight document-oriented NoSQL database written in pure Golang
...However, there are projects where running a separate database server may result overkilled, and, for simple queries, network delay may be the major performance bottleneck. For such scenarios, CloverDB may be a more suitable alternative. Previously, CloverDB relied on the Badger key-value store as a storage layer. However, Badger is not suitable for every scenario (for example, when the database size is a constraint). This is why, the storage layer of CloverDB has been abstracted through a set of interface types to work with any key-value store. At the moment, CloverDB can work with both Badger and Bolt (by default Bolt is used). -
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FlatCC FlatBuffers in C for C
FlatBuffers Compiler and Library in C for C
flatcc has no external dependencies except for build and compiler tools, and the C runtime library. With concurrent Ninja builds, a small client project can build flatcc with libraries, generate schema code, link the project and execute a test case in a few seconds, produce binaries between 15K and 60K, read small buffers in 30ns, build FlatBuffers in about 600ns, and with a larger executable also handle optional json parsing or printing in less than 2 us for a 10 field mixed type message....
