bloom_filter VS cache-hash

Compare bloom_filter vs cache-hash and see what are their differences.

bloom_filter

Bloom filter implementation in Crystal lang (by crystal-community)

cache-hash

A simple key/value store where pairs can expire after a specified interval (by samueleaton)
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bloom_filter cache-hash
- -
34 19
- -
2.0 0.0
over 1 year ago about 5 years ago
Crystal Crystal
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

bloom_filter

Posts with mentions or reviews of bloom_filter. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning bloom_filter yet.
Tracking mentions began in Dec 2020.

cache-hash

Posts with mentions or reviews of cache-hash. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning cache-hash yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing bloom_filter and cache-hash you can also consider the following projects:

crystal-memcached - Memcached client for Crystal language

Bloom Filter - Bloom filter implementation in Crystal lang

bojack

crystal-kiwi - A unified Crystal interface for key-value stores.

Nuummite - Nuummite is a tiny persistent embedded key-value store for Crystal!

crystal - The Crystal Programming Language

CacheAdapter

Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
www.nutrient.io
featured
CodeRabbit: AI Code Reviews for Developers
Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
coderabbit.ai
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Did you know that Crystal is
the 61st most popular programming language
based on number of references?