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.
What is the AdamWhiteHat/BloomFilter GitHub project? Description: "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.". Written in C#. Explain what it does, its main use cases, key features, and who would benefit from using it.
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