reusify - Reuse objects and functions with style

  •        7

Reuse your objects and functions for maximum speed. This technique will make any function run ~10% faster. You call your functions a lot, and it adds up quickly in hot code paths. The above benchmark uses fibonacci to simulate a real high-cpu load. The actual numbers might differ for your use case, but the difference should not.



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rdb - Javascript ORM

  •    Javascript

ORM for nodejs. Supports postgres, mySql and sqlite. 1.7.1 Support for schemas (postgres only). 1.7.0 sqlite3 is now a peer dependency. Add it to your own package.json if you intend to use it. 1.6.9 Bugfix: one-to-many relation returns empty if strategy is included. 1.6.8 Bugfix: one-to-many relation returns empty if insert/update is done earlier in transaction. 1.6.7 Bugfix in relations. 1.6.6 Bugfix. 1.6.5 Improved performance on relations. 1.6.4 Bugfix. 1.6.3 Bugfix: potential incorrect timeZoneOffset when serializing date to JSON. Got timeZoneOffset from now() instead of on actual date. 1.6.2 Removed es6 syntax to ensure backwards compatability. Fixed global var leak. 1.6.1 Now supporting sqlite. 1.6.0 Bugfix: potential ambigous column error when using limit and relating to other tables. 1.5.9 Bugfix: using multipleStatements in mySql could sometimes cause an error when updates are run right before a select. Improved performance on limit when relating to other tables. Using uuid instead of node-uuid Updated all dependencies but generic-pool to latest. (Generic-pool has some breaking changes in latest. I will update it in next release.) 1.5.8 Cleanup line breaks in documentation. 1.5.7 Bugfix: getById.exclusive and tryGetById.exclusive did not lock if row was cached. Improved performance on tryGetFirst. 1.5.6 Raw sql filters can accept sql both as string and as function. E.g. var filter = {sql: function() {return 'foo > 1';}}. 1.5.5 Optional locks for getMany, tryGetFirst and tryGetById. Instead of calling getMany(params) just call getMany.exclusive(params). Same syntax goes for tryGetFirst and tryGetById. This will result in SELECT FOR UPDATE. Bugfix: bulk deletes now accepts raw sql filters too. 1.5.4 Transaction locks. Postgres only. 1.5.3 Upgraded to pg 6.0.3 1.5.2 Improved performance and reduced memory footprint. 1.5.1 Documented JSON column type. Bug fix: Insert and foreign key violation. 1.5.0 JSON column type. Postgres json type does not support rdb filters. 1.4.1 Empty filter would sometimes cause invalid filter. 1.4.0 Raw SQL query. 1.3.0 getMany() now supports limit and orderBy - same syntax as in streaming. 1.2.3 Bugfix: iEqual gave incorrect sql when parameterized. 1.2.2 Exlusive no longer returns a clone of table. It has changes current table to exclusive locking. 1.2.1 Bugfix: Exclusive row locks 1.2.0 Exclusive row locks 1.1.0 Now supporting streaming. Requires postgres or MySQL >=5.7.7 1.0.8 README fixup. 1.0.7 Better performance on insert and update. 1.0.6 Bugfix: Transaction domain should not forward rdb singleton from old domain. 1.0.5 Documentation cleanup. 1.0.4 orderBy in toDto(). 1.0.3 toDto() using next tick on every thousandth row to avoid maximum call stack size exceeded. 1.0.2 Reduced number of simultaneous promises in order to avoid maximum call stack size exceeded. 1.0.1 Bugfix: Incorrect insert/updates on timestamp without timezone. The time was converted utc instead of stripping the timezone. 1.0.0 Transaction domain forwards properties from old domain. Semantic versioning from now on. 0.5.1 Improved performance 0.5.0 Logging: rdb.log(someFunc) logs sql and parameters. Raw sql filters. 0.4.9 New method: tryGetById. New filter: iEqual, postgres only. Bugfix: rows.toJSON() without strategy did not include any children. 0.4.8 Explicit pooling with size and end(). Bugfix: mySql did not release client to pool. 0.4.7 Upgraded to pg 4.3.0 Upgraded to mysql 2.5.5 0.4.6 Upgraded pg 4.2.0. 0.4.5 Oops. Forgot to use pg.js instead of pg. 0.4.4 Upgraded all dependencies to latest. Using pg.js instead of pg. 0.4.3 Can ignore columns when serializing to dto. 0.4.2 Bugfix: update on a row crashes when a delete occurs earlier in same transaction. 0.4.1 Bugfix: more global leaks. 0.4.0 Bugfix: global leak. 0.3.9 Bugfix: eager loading joins/hasOne with non unique column names was not handled correctly. 0.3.8 Supports mySql. Bulk deletes. 0.3.7 Bugfix: eager loading manyRelation on a join/hasOne returned empty array #11 0.3.6 Fixed sql injection vulnerability. 0.3.5 Built-in fetching strategies for lazy loading. Works best in readonly scenarios. 0.3.4 Docs and examples split moved to separate file. 0.3.3 Fixed documentation layout again. 0.3.2 Fixed documentation layout. 0.3.1 Case insensitive filters: iStartsWith, iEndsWith and iContains. 0.3.0 Fix broken links in docs. 0.2.9 Support for row.delete(). Rollback only throws when error is present. 0.2.8 Guid accepts uppercase letters. Bugfix: null inserts on guid columns yielded wrong sql. 0.2.7 New method, toDto(), converts row to data transfer object. Bugfix: toJSON returned incorrect string on hasMany relations. 0.2.6 Fixed incorrect links in README. 0.2.5 Bugfix: caching on composite keys could give a crash #7. Improved sql compression on insert/update. 0.2.4 Bugfix: getMany with many-strategy and shallowFilter yields incorrect query #6. 0.2.3 Reformatted documentation. No code changes.

fast-json-stringify - 2x faster than JSON.stringify()

  •    Javascript

fast-json-stringify is significantly faster than JSON.stringify() for small payloads. Its performance advantage shrinks as your payload grows. It pairs well with flatstr, which triggers a V8 optimization that improves performance when eventually converting the string to a Buffer. Build a stringify() function based on jsonschema.

Composite C1 - CMS on .NET 4 platform

  •    ASPNET

C1 is aimed at communicators who need to easily manage content on corporate websites while maintaining a consistent visual identity. C1 comes fully featured, it's straightforward to use, easy to extend, and integrates with other systems beautifully.

Nuclio - High-Performance Serverless event and data processing platform

  •    Go

Nuclio is a new "serverless" project, derived from Iguazio's elastic data life-cycle management service for high-performance events and data processing. You can use Nuclio as a standalone Docker container or on top of an existing Kubernetes cluster. Nuclio is extremely fast. A single function instance can process hundreds of thousands of HTTP requests or data records per second. This is 10-100 times faster than some other frameworks.

icaro - Smart and efficient javascript object observer, ideal for batching DOM updates (~1kb)

  •    Javascript

icaro is really fast compared to the other reactive libs because it smartly throttles all the state changes. icaro will let you listen to all the changes happening in a javascript object or array, grouping them efficiently, and optimizing the performance of your listeners.

Trove - High performance collections for Java

  •    Java

Trove provides fast, lightweight implementations of the java.util Collections API. These implementations are designed to be pluggable replacements for their JDK equivalents. This gap in the JDK is often addressed by using the "wrapper" classes (java.lang.Integer, java.lang.Float, etc.) with Object-based collections. For most applications, however, collections which store primitives directly will require less space and yield significant performance gains.

jmeter - Mirror of Apache JMeter

  •    Java

Apache JMeter may be used to test performance both on static and dynamic resources, Web dynamic applications. It can be used to simulate a heavy load on a server, group of servers, network or object to test its strength or to analyze overall performance under different load types.Full featured Test IDE that allows fast Test Plan recording (from Browsers or native applications), building and debugging.

simulacra - Data-binding function for the DOM.

  •    Javascript

Simulacra.js returns a DOM Node that updates when an object changes. Its API is a single function, and it does not introduce any new syntax or a template language. It recursively adds metaprogramming features to vanilla data structures to work. It is a fairly low cost abstraction, though it may not be quite as fast as hand-optimized code. The approximate size of this library is ~5 KB (minified and gzipped).

ProgrammingAssignment2 - Repository for Programming Assignment 2 for R Programming on Coursera

  •    R

This second programming assignment will require you to write an R function that is able to cache potentially time-consuming computations. For example, taking the mean of a numeric vector is typically a fast operation. However, for a very long vector, it may take too long to compute the mean, especially if it has to be computed repeatedly (e.g. in a loop). If the contents of a vector are not changing, it may make sense to cache the value of the mean so that when we need it again, it can be looked up in the cache rather than recomputed. In this Programming Assignment you will take advantage of the scoping rules of the R language and how they can be manipulated to preserve state inside of an R object. In this example we introduce the <<- operator which can be used to assign a value to an object in an environment that is different from the current environment. Below are two functions that are used to create a special object that stores a numeric vector and caches its mean.

netdata - Get control of your servers. Simple. Effective. Awesome!

  •    C

netdata is a system for distributed real-time performance and health monitoring. It provides unparalleled insights, in real-time, of everything happening on the system it runs (including applications such as web and database servers), using modern interactive web dashboards.netdata is fast and efficient, designed to permanently run on all systems (physical & virtual servers, containers, IoT devices), without disrupting their core function.

AttributedLabel - Easy to use, fast, and higher performance than UILabel.

  •    Swift

This is a better performance than UILabel and can be used like a standard UI component. Also, Easier to use than UILabel. Since UIView is inherited instead of UILabel, there is little wasteful processing. It uses the function of TextKit to draw characters.

greenDAO - greenDAO is a light & fast ORM solution for Android that maps objects to SQLite databases

  •    Java

Looking for object persistence faster than SQLite? Check out our new mobile database ObjectBox (GitHub). greenDAO is a light & fast ORM for Android that maps objects to SQLite databases. Being highly optimized for Android, greenDAO offers great performance and consumes minimal memory.

Leaflet.heat - A tiny, simple and fast heatmap plugin for Leaflet.

  •    Javascript

A tiny, simple and fast Leaflet heatmap plugin. Uses simpleheat under the hood, additionally clustering points into a grid for performance. Each point in the input array can be either an array like [50.5, 30.5, 0.5], or a Leaflet LatLng object.

fatfree - A powerful yet easy-to-use PHP micro-framework designed to help you build dynamic and robust Web applications - fast!

  •    PHP

Condensed in a single ~65KB file, F3 (as we fondly call it) gives you solid foundation, a mature code base, and a no-nonsense approach to writing Web applications. Under the hood is an easy-to-use Web development tool kit, a high-performance URL routing and cache engine, built-in code highlighting, and support for multilingual applications. It's lightweight, easy-to-use, and fast. Most of all, it doesn't get in your way. F3 supports both SQL and NoSQL databases off-the-shelf: MySQL, SQLite, MSSQL/Sybase, PostgreSQL, DB2, and MongoDB. It also comes with powerful object-relational mappers for data abstraction and modeling that are just as lightweight as the framework. No configuration needed.

put-selector - A high-performance, lightweight function for creating and manipulating DOM elements with succinct, elegant, familiar CSS selector-based syntax

  •    Javascript

This put-selector/put module/package provides a high-performance, lightweight (~2KB minified, ~1KB gzipped with other code) function for creating and manipulating DOM elements with succinct, elegant, familiar CSS selector-based syntax across all browsers and platforms (including HTML generation on NodeJS). The single function from the module creates or updates DOM elements by providing a series of arguments that can include reference elements, selector strings, properties, and text content. The put() function utilizes the proven techniques for optimal performance on modern browsers to ensure maximum speed. would create an element <div class="my-class"> (an element with a class of "my-class").

ACReuseQueue - A queue to keep and reusing objects.

  •    Objective-C

A queue to keep and reusing objects. A reuse queue is a way to quickly reuse objects when object allocation and initialization is time-consuming. This reuse queue is inspired after UITableView's for reusing cells, headers and footers.

JSON Tiny Serializer dedicated to output JavaScript string from C# object

  •    CSharp

This C# JSon Serializer is dedicated to output JavaScript string from .Net managed object. The code is oriented performance and running more than twice fast as the standard .Net 4 JavaScriptSerializer. Recursive Check and Size limit are implemented.

XOM - XML object model in Java

  •    Java

XOM is a new XML object model. It is a tree-based API for processing XML with Java that strives for correctness, simplicity, and performance, in that order.

GeneratedHydrator - :bullettrain_side: Fast Generated Object Hydrator for PHP

  •    PHP

GeneratedHydrator is a library about high performance transition of data from arrays to objects and from objects to arrays. A hydrator is an object capable of extracting data from other objects, or filling them with data.

PyTables - A Python package to manage extremely large amounts of data

  •    Python

PyTables is a package for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data. It is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with C extensions for the performance-critical parts of the code (generated using Cython), makes it a fast, yet extremely easy to use tool for interactively save and retrieve very large amounts of data. One important feature of PyTables is that it optimizes memory and disk resources so that they take much less space (between a factor 3 to 5, and more if the data is compressible) than other solutions, like for example, relational or object oriented databases.