Search Results for "maps"
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Showing 11 open source projects for "maps"
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tslog
Universal Logger for TypeScript and JavaScript
Powerful, fast, and expressive logging for TypeScript and JavaScript. Every incoming log message runs through a number of steps before being displayed or handed over to a "transport". Every step can be overwritten and adjusted. By default, tslog is optimized for the best developer experience and includes some default settings that may impact performance in production environments. -
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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. -
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StringZilla
10x faster string search, split, sort, and shuffle for long strings
...The implementation fits into a single C 99 header file and uses different SIMD flavors and SWAR on older platforms. The Str is designed to replace long Python str strings and wrap our C-level API. On the other hand, the File memory-maps a file from persistent memory without loading its copy into RAM. The contents of that file would remain immutable, and the mapping can be shared by multiple Python processes simultaneously. A standard dataset pre-processing use case would be to map a sizeable textual dataset like Common Crawl into memory, spawn child processes, and split the job between them. -
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Connexion
Swagger/OpenAPI First framework for Python on top of Flask
Connexion is a framework on top of Flask that automagically handles HTTP requests defined using OpenAPI (formerly known as Swagger), supporting both v2.0 and v3.0 of the specification. Connexion allows you to write these specifications, then maps the endpoints to your Python functions. This is what makes it unique from other tools that generate the specification based on your Python code. 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. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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). It’s ideal for manipulating JSON dynamically in Go without bulky models. -
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fast-serialization
FST: fast java serialization drop in-replacement
Up to 10 times faster 100% JDK Serialization compatible drop-in replacement (Ok, might be 99% ..). As an example: Lambda Serialization which came with 1.8 worked instantly. Android compatible since version 2.17 (use FSTConfiguration.createAndroidDefaultConfiguration() both on the server and client side. The configuration object has to be passed into FSTObjectIn/Output constructors) FSTStructs is very similar to IBM's packed objects. The difference is you can run it with Oracle JDK today.... -
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Pikkr
JSON parser to pick up values directly without performing tokenization
JSON Parser which picks up values directly without performing tokenization in Rust. Pikkr is a JSON parser that picks up values directly without performing tokenization in Rust. 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. ... -
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OJson
Optimised JSON (Javascript Object Notation)
Optimise JSON by removing duplicate strings and arrays containing repeated object keys. Here you will find binary downloads and discussion (https://sourceforge.net/p/ojson/discussion/) . The actual development and issue tracking can be found here: https://bitbucket.org/cryanfuse/ojson -
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JSONjuicer
JSON parser and encoder
A Java open-source library which makes encoding and decoding Java data-structures to and from JSON text easy and intuitive. -
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JSON is a lightweight data-interchange format. It can represents integer, real number, string, an ordered sequence of value, and a collection of name/value pairs. QJson is a qt-based library that maps JSON data to QVariant objects.
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11
googlemaps
Python wrapper for Google Maps V2 API
* Note: The Google Maps V2 API used by this module has been deprecated. * For V3, consider pygeocoder: https://pypi.python.org/pypi/pygeocoder Easy-to-use Python wrapper for the Google Maps V2 and Local Search APIs. Provides geocoding, reverse geocoding, directions, and local search.
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