Advanced DataGridView with Excel-like auto filter

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Windows Forms DataGridView Control with Excel-Like auto-filter context menu Windows Forms DataGridView ??????? ? Excel-???????? ????-????????



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cfilter - Cuckoo Filter implementation in Go, better than Bloom Filters (unmaintained, unfortunately)

  •    Go

Cuckoo filter is a Bloom filter replacement for approximated set-membership queries. Cuckoo filters support adding and removing items dynamically while achieving even higher performance than Bloom filters. For applications that store many items and target moderately low false positive rates, cuckoo filters have lower space overhead than space-optimized Bloom filters. Some possible use-cases that depend on approximated set-membership queries would be databases, caches, routers, and storage systems where it is used to decide if a given item is in a (usually large) set, with some small false positive probability. Alternatively, given it is designed to be a viable replacement to Bloom filters, it can also be used to reduce the space required in probabilistic routing tables, speed longest-prefix matching for IP addresses, improve network state management and monitoring, and encode multicast forwarding information in packets, among many other applications. Cuckoo filters provide the flexibility to add and remove items dynamically. A cuckoo filter is based on cuckoo hashing (and therefore named as cuckoo filter). It is essentially a cuckoo hash table storing each key's fingerprint. Cuckoo hash tables can be highly compact, thus a cuckoo filter could use less space than conventional Bloom filters, for applications that require low false positive rates (< 3%).

Kibana Enhanced Table - Kibana visualization like a Data Table, but with enhanced features like computed columns, filter bar and Split Cols bucket

  •    Javascript

This Kibana visualization plugin is like a Data Table, but with enhanced features like computed columns, filter bar and pivot table. Now the plugin contains a second visualization named 'Document Table'. This visualization does the same thing than 'Enhanced Table' visualization, but for single documents (not aggregations). It especially allows to have enhanced features, compared to a saved search (like column custom labels, computed columns and filter bar)

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.

yadcf - Yet Another DataTables Column Filter (yadcf)

  •    Javascript

This jQuery plug-in allows the user to easily add filter components to table columns, the plug-in works on top of the DataTables jQuery plug-in.


  •    C++

Cuckoo filter is a Bloom filter replacement for approximated set-membership queries. While Bloom filters are well-known space-efficient data structures to serve queries like "if item x is in a set?", they do not support deletion. Their variances to enable deletion (like counting Bloom filters) usually require much more space. Cuckoo filters provide the flexibility to add and remove items dynamically. A cuckoo filter is based on cuckoo hashing (and therefore named as cuckoo filter). It is essentially a cuckoo hash table storing each key's fingerprint. Cuckoo hash tables can be highly compact, thus a cuckoo filter could use less space than conventional Bloom filters, for applications that require low false positive rates (< 3%).

Filterpedia - Core Image Filter Explorer & Showcase

  •    Swift

Filterpedia is an iPad app for exploring (almost) the entire range of image filters offered by Apple's Core Image framework. It is designed as a companion app to my upcoming book, Core Image for Swift which is due for publication in February 2016. The UI is split into two sections: the table view on the left allows the user to navigate through and select a filter, the panel on the right then displays all the parameters of the selected filter which can be adjusted using horizontal sliders.

EloquentFilter - An Eloquent Way To Filter Laravel Models And Their Relationships

  •    PHP

The default namespace for all filters is App\ModelFilters\ and each Model expects the filter classname to follow the {$ModelName}Filter naming convention regardless of the namespace the model is in. Here is an example of Models and their respective filters based on the default naming convention.

AdguardFilters - AdGuard Ad Blocking Filters

  •    Python

This is the place where we create filters for AdGuard. Every filter represents a set of rules in text format which are used by AdGuard apps and programs to filter advertising and privacy-threatening content (such as banners, pop-ups, trackers etc.). Rules specific for a particular Internet segment (German filter, Russian filter etc.), or serving a specific purpose (Social media filter, Spyware filter etc.) are combined into one list - filter - and can be enabled/disabled all at once. Our filters are being constantly updated. This repository lets anyone draw our attention to anything from a missed ad to a false positive, thus helping us to modify our filters, make them better and keep up-to-date.

bloom - Go package implementing Bloom filters

  •    Go

A Bloom filter is a representation of a set of n items, where the main requirement is to make membership queries; i.e., whether an item is a member of a set.A Bloom filter has two parameters: m, a maximum size (typically a reasonably large multiple of the cardinality of the set to represent) and k, the number of hashing functions on elements of the set. (The actual hashing functions are important, too, but this is not a parameter for this implementation). A Bloom filter is backed by a BitSet; a key is represented in the filter by setting the bits at each value of the hashing functions (modulo m). Set membership is done by testing whether the bits at each value of the hashing functions (again, modulo m) are set. If so, the item is in the set. If the item is actually in the set, a Bloom filter will never fail (the true positive rate is 1.0); but it is susceptible to false positives. The art is to choose k and m correctly.

WPF DataGrid Auto Filter


WPF DataGrid Auto Filter This project gives user to add auto filter to exisiting wpf toolkit datagrid control. It has features like select all and clear filter button.

InertialNav - Inertial Navigation Filter

  •    C++

The IMU delta angles and delta velocities are assumed to be simple integrals of the corresponding angular rates and axial accelerations, with no coning or sculling compensation applied to them before input to the filter. The filter is designed to run in parallel with the existing APM AHRS complementary filter, firstly to provide a bootstrap for initial alignment, and secondly to provide a watchdog reference to detect filter divergence.

vue-filter - :v: A collection of Vue.js filter.

  •    Javascript

Notice: Normally, you will only use few filters in your project, so you don't need to import this library entirely. Consider use a library like Lodash and write the filter you need by yourself. or copy the file at here.

PJL Compressing Filter

  •    Java

A J2EE servlet filter which compresses data written to the response. It supports several algorithms (gzip, deflate, etc.) and emphasizes minimal memory usage and high throughput. Also provides detailed performance stats. Feel free to fork pjl-comp-filter on Github:

bogofilter -- Fast Bayesian Spam Filter

  •    Perl

Bogofilter is a mail filter that classifies mail as spam or ham (non-spam) by a statistical analysis of the message's header and content (body). The program is able to learn from the user's classifications and corrections. Bogofilter provides processing for plain text and HTML. It supports multi-part MIME messages with decoding of base64, quoted-printable, and uuencoded text and ignores attachments, such as images.

SMTP Guard Filter


Spam filter for SMTP server. Check emails for spam against 9 different filters. Easy to customize and tune to your specific needs. Easy to create new filters. Eliminate 99% of spam.

BoomFilters - Probabilistic data structures for processing continuous, unbounded streams.

  •    Go

Boom Filters are probabilistic data structures for processing continuous, unbounded streams. This includes Stable Bloom Filters, Scalable Bloom Filters, Counting Bloom Filters, Inverse Bloom Filters, Cuckoo Filters, several variants of traditional Bloom filters, HyperLogLog, Count-Min Sketch, and MinHash.Classic Bloom filters generally require a priori knowledge of the data set in order to allocate an appropriately sized bit array. This works well for offline processing, but online processing typically involves unbounded data streams. With enough data, a traditional Bloom filter "fills up", after which it has a false-positive probability of 1.

DirectShow filter for the MAD library

  •    C

This is a DirectShow filter for the MAD library. The idea is mostly to provide an example on how to write a DirectShow audio-filter, however the filter itself can be used as a replacement for the standard MPEG Audio Layer 1, 2 and 3 filters.



scmail is a mail filter written in Scheme. scmail can filter an incoming mail when it is received and filter mails in a mailbox. A bayesian spam filter called scbayes is also included.

filter.js - Complete solution for client side filtering and rendering using JSON data

  •    Javascript

Filter.js is client-side JSON objects filter which can render html elements. Multiple filter criteria can be specified and used in conjunction with each other. Basic requirement to implement filtering using filter.js are JSON data, a 'View' template and a filter criteria.

LexikFormFilterBundle - This Symfony2 bundle aim to provide classes to build some form filters and then build a doctrine query from this form filter

  •    PHP

This Symfony bundle aims to provide classes to build some form types dedicated to filter an entity. Once you created your form type you will be able to update a doctrine query builder conditions from a form type. (*): In fact you can use any type, but if you want to apply a filter by not using a XxxFilterType::class type you will have to create a custom listener class to apply the filter for this type.