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Showing 52 open source projects for "time"
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1
Remarshal
Convert between CBOR, JSON, MessagePack, TOML, and YAML
Convert between CBOR, JSON, MessagePack, TOML, and YAML. When installed, provides the command-line command remarshal as well as the short commands {cbor,json,msgpack,toml,yaml}2{cbor,json,msgpack,toml,yaml}. You can perform format conversion, reformatting, and error detection using these commands. CBOR, MessagePack, and YAML with binary fields cannot be converted to JSON or TOML. Binary fields are converted between CBOR, MessagePack, and YAML. -
2
Glaze
Extremely fast, in memory, JSON and interface library for modern C++
One of the fastest JSON libraries in the world. Glaze reads and writes from C++ memory, simplifying interfaces and offering incredible performance. Glaze also supports binary messages via BEVE and CSV support. And, the library has many more useful features for building APIs. -
3
SQLModel
SQL databases in Python, designed for simplicity, compatibility
SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness. SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python-type annotations, and powered by Pydantic and SQLAlchemy. -
4
jplot
iTerm2 expvar/JSON monitoring tool
Jplot tracks expvar-like (JSON) metrics and plot their evolution over time right into your iTerm2 terminal (or DRCS Sixel Graphics). -
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5
Countries States Cities Database
Discover our global repository of countries, states, and cities
...Discover our global repository of countries, states, and cities! Get comprehensive data in JSON, SQL, XML, YAML, and CSV formats. Access ISO2, ISO3 codes, country code, capital, native language, time zones (for countries), and more. -
6
Ajv JSON schema validator
The fastest JSON schema Validator
...Instead of having your data validation and sanitization logic written as lengthy code, you can declare the requirements to your data with concise, easy to read and cross-platform JSON Schema or JSON Type Definition specifications and validate the data as soon as it arrives to your application. TypeScript users can use validation functions as type guards, having type level guarantee that if your data is validated, it is correct. Ajv was designed at the time when there were no validators fully complying with JSON Schema specification, aiming to achieve the best possibly validation performance via just-in-time compilation of JSON schemas to code. Ajv achieved both speed and rigour, but initially security was an afterthought, many security flaws have been fixed thanks to the reports from its users. -
7
jq
Lightweight and flexible command-line JSON processor
...Data in jq is represented as streams of JSON values - every jq expression runs for each value in its input stream, and can produce any number of values to its output stream. jq filters run on a stream of JSON data. The input to jq is parsed as a sequence of whitespace-separated JSON values which are passed through the provided filter one at a time. The output(s) of the filter are written to standard out, again as a sequence of whitespace-separated JSON data. -
8
jsoniter-scala
Scala macros for compile-time generation of safe and ultra-fast JSON
Scala macros for compile-time generation of safe and ultra-fast JSON codecs. This library had started from macros that reused jsoniter (json-iterator) for Java reader and writer but then the library evolved to have its own core of mechanics for parsing and serialization. The idea to generate codecs by Scala macros and main details was borrowed from Kryo Macros and adapted for the needs of the JSON domain. -
9
Extract TOTP/HOTP secrets
Extract one time password (OTP) secrets from QR codes
The Python script extract_otp_secrets.py extracts one-time password (OTP) secrets from QR codes exported by two-factor authentication (2FA) apps such as "Google Authenticator". -
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10
Sonic JSON
A blazingly fast JSON serializing & deserializing library
A blazingly fast JSON serializing & deserializing library, accelerated by JIT (just-in-time compiling) and SIMD (single-instruction-multiple-data). -
11
JWT
A simple library to work with JSON Web Token and JSON Web Signature
...To reduce the chance of having flaky tests on your test suite, the facade supports the usage of a clock object. That allows passing an implementation that always returns the same point in time. -
12
ScanAPI
Automated Integration Testing and Live Documentation for your API
Given an API specification, written in YAML/JSON format, ScanAPI hits the specified endpoints, runs the test cases, and generates a detailed report of this execution - which can also be used as the API documentation itself. With almost no Python knowledge, the user can define endpoints to be hit, the expected behavior for each response and will receive a full real-time diagnostic report of the API. -
13
Mashumaro
Fast and well tested serialization library on top of dataclasses
When using data classes, you often need to dump and load objects based on the schema you have. Mashumaro not only lets you save and load things in different ways, but it also does it super quickly. -
14
orjson
Fast, correct Python JSON library supporting dataclasses, datetimes
orjson is a fast, correct JSON library for Python. It benchmarks as the fastest Python library for JSON and is more correct than the standard json library or other third-party libraries. It serializes dataclass, datetime, numpy, and UUID instances natively. orjson supports CPython 3.8, 3.9, 3.10, 3.11, and 3.12. It distributes amd64/x86_64, aarch64/armv8, arm7, POWER/ppc64le, and s390x wheels for Linux, amd64 and aarch64 wheels for macOS, and amd64 and i686/x86 wheels for Windows. orjson... -
15
json-joy
json-joy — JSON CRDT, JSON CRDT Patch, JSON Patch
json-joy library implements cutting-edge real-time and collaborative editing algorithms and other utilities for JSON data models. Major focus of json-joy is development of the JSON CRDT protocol, a Conflict-free Replicated Data Type that enables seamless merging of changes in JSON data models, avoiding conflicts between replicas. -
16
Miller
Miller is like awk, sed, cut, join, and sort for name-indexed data
Miller is like awk, sed, cut, join, and sort for data formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. With Miller, you get to use named fields without needing to count positional indices, using familiar formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. Then, on the fly, you can add new fields which are functions of existing fields, drop fields, sort, aggregate statistically, pretty-print, and more. Miller operates on key-value-pair data while the... -
17
iguana
Universal serialization engine
iguana is a modern, universal and easy-to-use serialization engine developed in C++20 and C++17. Serialize an object to any other format data with compile-time reflection, such as json, xml, binary, table and so on. This library is designed to unify and simplify serialization in a portable cross-platform manner. This library is also easy to extend, and you can serialize any format of data with the library. -
18
Spectral
A flexible JSON/YAML linter for creating automated style guides
...Make sure APIs are secure, consistent, and useful. Spectral is open-source but is also baked into Stoplight, with extensions for VS Code and other integration options, giving you real-time feedback wherever you design APIs. Spectral can be used as a generic ruleset engine on any JSON or YAML data but was built with OpenAPI, AsyncAPI, and JSON Schema in mind. Use Spectral rules to target API descriptions for quality improvement or enforce API Style Guide rules, such as naming conventions for OpenAPI models or prohibiting integers in URLs. -
19
Vince's CSV Parser
A modern C++ library for reading, writing, and analyzing CSV
There's plenty of other CSV parsers in the wild, but I had a hard time finding what I wanted. Inspired by Python's csv module, I wanted a library with simple, intuitive syntax. Furthermore, I wanted support for special use cases such as calculating statistics on very large files. With the deluge of large datasets available, a performant CSV parser is a necessity. By using overlapped threads, memory-mapped IO, and efficient data structures, this parser can quickly tackle large CSV files. ... -
20
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. ... -
21
Doctrine JSON ODM
An object document mapper for Doctrine ORM using JSON
An Object-Document Mapper (ODM) for Doctrine ORM leveraging new JSON types of modern RDBMS. Did you ever dream of a tool creating powerful data models mixing traditional, efficient relational mappings with modern schema-less and NoSQL-like ones? With Doctrine JSON ODM, it's now possible to create and query such hybrid data models with ease. Thanks to modern JSON types of RDBMS, querying schema-less documents is easy, powerful and fast as hell (similar in performance to a MongoDB database)!... -
22
Formly
JSON powered dynamic forms for Angular
...NGX Formly was built as an open-source project, which you can find on GitHub. The tool lets you create forms based on a JSON structure. This makes it super easy and fast to build small and advanced forms in no time. It’s no problem when you use Angular with Material, Bootstrap, Ionic, PrimeNG, Kendo, and NativeScript. They have a plugin for all of them. We can give the select options manually to the select or via a defined enum . In order to get all the information from the enum, we have to store them in the ProductTypeNames which output an Array from the enum . -
23
vcr
Record your test suite's HTTP interactions and replay them
Record your test suite's HTTP interactions and replay them during future test runs for fast, deterministic, accurate tests. We're looking for more maintainers. If you'd like to help maintain a well-used gem please spend some time reviewing pull requests, issues, or participating in discussions. VCR will replay the response from iana.org when the HTTP request is made. This test is now fast (no real HTTP requests are made anymore), deterministic (the test will continue to pass, even if you are offline, or iana.org goes down for maintenance) and accurate (the response will contain the same headers and body you get from a real request). ... -
24
Logstash Logback Encoder
Logback JSON encoder and appenders
Provides log back encoders, layouts, and appenders to log in JSON and other formats supported by Jackson. Supports both regular LoggingEvents (logged through a Logger) and AccessEvents (logged via logback-access). Originally written to support output in Logstash's JSON format, but has evolved into a highly configurable, general-purpose, structured logging mechanism for JSON and other Jackson data forms. The structure of the output, and the data it contains, is fully configurable. The general... -
25
simdjson
Parsing gigabytes of JSON per second
JSON is everywhere on the Internet. Servers spend a *lot* of time parsing it. We need a fresh approach. The simdjson library uses commonly available SIMD instructions and microparallel algorithms to parse JSON 4x faster than RapidJSON and 25x faster than JSON for Modern C++. The simdjson library uses three-quarters less instructions than state-of-the-art parser RapidJSON. To our knowledge, simdjson is the first fully-validating JSON parser to run at gigabytes per second (GB/s) on commodity processors. ...
