bleve
lf
bleve | lf | |
---|---|---|
14 | 110 | |
9,736 | 7,340 | |
0.6% | - | |
8.3 | 8.8 | |
1 day ago | 2 days ago | |
Go | Go | |
Apache License 2.0 | MIT License |
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.
bleve
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Hermes v1.7
I don't have the answer to that, but the project has been alive for many years. Seems maybe you should find the answer since you are developing a competing solution? Also it might be a good reference project for solving similar problems to yours. They do have bench tests you could play with https://github.com/blevesearch/bleve/blob/master/query_bench_test.go
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Seeking a free full text search solution for large data with progress display
I know of https://github.com/blevesearch/bleve and I think there was another project for full text search that I can't find now.
- Any Full Text Search library for json data?
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An alternative to Elasticsearch that runs on a few MBs of RAM
I would be interested in such a testbed. I would also like to know how Bleve Search (https://github.com/blevesearch/bleve) turns out.
I have for many years now a small search engine project in my free-time pipeline, but I'm before crawling even and I intend to sit for searching part after some of that.
- What is the coolest Go open source projects you have seen?
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BetterCache 2.0 (has full text search/remove, etc.)
Haha. Seriously I can’t tell the difference between these libraries https://github.com/blevesearch/bleve
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I want to dive into how to make search engines
I've never worked on a project that encompasses as many computer science algorithms as a search engine. There are a lot of topics you can lookup in "Information Storage and Retrieval":
- Tries (patricia, radix, etc...)
- Trees (b-trees, b+trees, merkle trees, log-structured merge-tree, etc..)
- Consensus (raft, paxos, etc..)
- Block storage (disk block size optimizations, mmap files, delta storage, etc..)
- Probabilistic filters (hyperloloog, bloom filters, etc...)
- Binary Search (sstables, sorted inverted indexes, roaring bitmaps)
- Ranking (pagerank, tf/idf, bm25, etc...)
- NLP (stemming, POS tagging, subject identification, sentiment analysis etc...)
- HTML (document parsing/lexing)
- Images (exif extraction, removal, resizing / proxying, etc...)
- Queues (SQS, NATS, Apollo, etc...)
- Clustering (k-means, density, hierarchical, gaussian distributions, etc...)
- Rate limiting (leaky bucket, windowed, etc...)
- Compression
- Applied linear algebra
- Text processing (unicode-normalization, slugify, sanitation, lossless and lossy hashing like metaphone and document fingerprinting)
- etc...
I'm sure there is plenty more I've missed. There are lots of generic structures involved like hashes, linked-lists, skip-lists, heaps and priority queues and this is just to get 2000's level basic tech.
- https://github.com/quickwit-oss/tantivy
- https://github.com/valeriansaliou/sonic
- https://github.com/mosuka/phalanx
- https://github.com/meilisearch/MeiliSearch
- https://github.com/blevesearch/bleve
- https://github.com/thomasjungblut/go-sstables
A lot of people new to this space mistakenly think you can just throw elastic search or postgres fulltext search in front of terabytes of records and have something decent. The problem is that search with good rankings often requires custom storage so calculations can be sharded among multiple nodes and you can do layered ranking without passing huge blobs of results between systems.
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Why Writing Your Own Search Engine Is Hard (2004)
For those curious, I'm on my 3rd search engine as I keep discovering new methods of compactly and efficiently processing and querying results.
There isn't a one-size-fits all approach, but I've never worked on a project that encompasses as many computer science algorithms as a search engine.
- Tries (patricia, radix, etc...)
- Trees (b-trees, b+trees, merkle trees, log-structured merge-tree, etc..)
- Consensus (raft, paxos, etc..)
- Block storage (disk block size optimizations, mmap files, delta storage, etc..)
- Probabilistic filters (hyperloloog, bloom filters, etc...)
- Binary Search (sstables, sorted inverted indexes)
- Ranking (pagerank, tf/idf, bm25, etc...)
- NLP (stemming, POS tagging, subject identification, etc...)
- HTML (document parsing/lexing)
- Images (exif extraction, removal, resizing / proxying, etc...)
- Queues (SQS, NATS, Apollo, etc...)
- Clustering (k-means, density, hierarchical, gaussian distributions, etc...)
- Rate limiting (leaky bucket, windowed, etc...)
- text processing (unicode-normalization, slugify, sanitation, lossless and lossy hashing like metaphone and document fingerprinting)
- etc...
I'm sure there is plenty more I've missed. There are lots of generic structures involved like hashes, linked-lists, skip-lists, heaps and priority queues and this is just to get 2000's level basic tech.
- https://github.com/quickwit-oss/tantivy
- https://github.com/valeriansaliou/sonic
- https://github.com/mosuka/phalanx
- https://github.com/meilisearch/MeiliSearch
- https://github.com/blevesearch/bleve
A lot of people new to this space mistakenly think you can just throw elastic search or postgres fulltext search in front of terabytes of records and have something decent. That might work for something small like a curated collection of a few hundred sites.
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Mattermost – open-source platform for secure collaboration
Search in SQL databases is a tough beast to get it right. And given that we support MySQL and Postgres both, it gets even harder to support quirks of both of them.
In enterprise editions, the only addition is Elasticsearch. But in our open-source version, we do have support for https://github.com/blevesearch/bleve. Although, it's in beta, we have a lot of customers using it.
I am wondering if you have tried using it and didn't like it?
- A Database for 2022
lf
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Ask HN: Interesting TUIs (text user interfaces), maybe forgotten ones?
A very good alternative to ranger is lf https://github.com/gokcehan/lf
It's a lot faster in all aspects, has mostly the same features and is pretty much a standalone binary.
- Use Midnight Commander like a pro (2015)
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Yazi: Fast terminal file manager based on async I/O
I've tried using LF in the past, but it didn't stick. Will definitely give this a go, as I'm trying to move to an pure terminal workflow as closely as possible.
https://github.com/gokcehan/lf
- Ytree; a Unix Filemanager
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What are the best open source tools to easily navigate directories from the command line?
Hi. fff, lf, clifm Won't say they're best or not, rather interesting and maybe worth looking at. Looked up for the z in termux's repos and it's called "zoxide" there.
- Switching from unix - Is there a plugin or something similar to Ranger or NNN?
- NvimTree vs NeoTree
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LF filemanager is awesome - so is zsh, which I want to migrate to. But in bash and fish, you can make a function so when quitting LF, you end up in the dir you were in in LF. can't find something similar for zsh
in the Github page for lf under etc, you can find instruction for making such a function for bash and fish.
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What is the process of requesting for a package to be added to the official repos?
I recently discovered an amazing terminal file manager (lf). The package is available for most mainstream distros but not for openSUSE.
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What are your programs missing from the official Fedora repos?
For me, the main program missing is "lf" the ranger inspired terminal file manager. 5000 stars on Github, packaged in the official repos for basically anything under the sun except Fedora and a key part in my day-to-day workflow. https://github.com/gokcehan/lf
What are some alternatives?
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
ranger - A VIM-inspired filemanager for the console
elastic - Deprecated: Use the official Elasticsearch client for Go at https://github.com/elastic/go-elasticsearch
nnn - n³ The unorthodox terminal file manager
goriak - goriak - Go language driver for Riak KV
ueberzug - ueberzug is a command line util which allows to display images in combination with X11. The user is expected to have knowledge of theoretical computer science. https://github.com/seebye/ueberzug/wiki/Troubleshooting/119e30f331799b30fb9594db29740685cb09425b
elasticsql - convert sql to elasticsearch DSL in golang(go)
mpv-image-viewer - Configuration, scripts and tips for using mpv as an image viewer
goes
lfm
elastigo - A Go (golang) based Elasticsearch client library.
xplr - A hackable, minimal, fast TUI file explorer