BloomFilter

filter

A novel, space-efficient, probabilistic data structure for hashing a large number of values. It is similar to a hash table, but smaller because it does not need to store the entire value like HashTable and has better asymptotic performance, at the cost of possible false-positives, a likelihood that is configurable. False negatives are not possible. Best use case: Lightweight check if a value/query exists to reject needless/bogus call in place before performing a more latent or expensive request, such as a search for content or database call.

How to download and setup BloomFilter

Open terminal and run command

git clone https://github.com/AdamWhiteHat/BloomFilter.git

git clone is used to create a copy or clone of BloomFilter repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with BloomFilter https://github.com/AdamWhiteHat/BloomFilter/archive/master.zip

Or simply clone BloomFilter with SSH

[email protected]:AdamWhiteHat/BloomFilter.git

If you have some problems with BloomFilter

You may open issue on BloomFilter support forum (system) here: https://github.com/AdamWhiteHat/BloomFilter/issues

Similar to BloomFilter repositories

Here you may see BloomFilter alternatives and analogs

FabulousFilter BOSWatch asyncro elasticsearch-gmail coverageChecker muuri mixitup angular-filter fuzzysort CameraFilter holmes Shuffle tui.image-editor NeverSink-Filter ng2-smart-table BoomFilters YPImagePicker cssco android-gpuimage-plus pesdk-ios-examples FlexibleImage cfilter filterrific yadcf KalmanFilter chips-input-layout librestreaming ToolGood.Words GaussianBlur EloquentFilter