ngrok
bleve
ngrok | bleve | |
---|---|---|
12 | 13 | |
23,938 | 9,666 | |
- | 0.6% | |
3.7 | 8.0 | |
6 days ago | 6 days ago | |
Go | Go | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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.
ngrok
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List of ngrok/Cloudflare Tunnel alternatives and other tunneling software and services. Focus on self-hosting.
ngrok 1.0 - Original version of ngrok. No longer developed in favor of the commercial 2.0 version.
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Portr – open-source ngrok alternative designed for teams
Thanks for the history. I maintain this list[0], and wasn't aware of OG localtunnel, likely because there's a somewhat newer and now more popular project with the same name[1]. You appear to be correct on timing. Here's the earliest commits on GitHub for each of the projects:
OG localtunnel (2010): https://github.com/progrium/localtunnel/tree/fb82920d9d3e538...
Other localtunnel (2012): https://github.com/localtunnel/localtunnel/tree/93d62b9dbb9f...
ngrok (2012): https://github.com/inconshreveable/ngrok/tree/8f4795ecac7f92...
I'll see that OG localtunnel gets added to the list for posterity.
[0]: https://github.com/anderspitman/awesome-tunneling
[1]: https://github.com/localtunnel/localtunnel
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What is the coolest Go open source projects you have seen?
ngrok
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ngrok open source alternative for SSH tunnelling?
if you're worried about the line "ngrok captures and analyzes all traffic over the tunnel for later inspection and replay" in https://github.com/inconshreveable/ngrok, I'd say that's a valid concern but not for ssh if you make sure the client knows what the host key is and does not accept a different one
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Alternative to ngrok's web interface that doesn't require a public URL?
Looks like it's open source so it could be just a fork away https://github.com/inconshreveable/ngrok
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Building a HTTP Tunnel with WebSocket and Node.JS
To get a fix domain, we can deploy HTTP tunnel in our own server. ngrok also provides an open source version for server side deployment. But it is old 1.x version and not recommended to deploy at production with some serious reliability issues.
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Real-time logs sharing by just piping stdout (my first golang project)
I ended up inspired by ngork structure here: https://github.com/inconshreveable/ngrok it doesn't really work well with go modules, since i will end up running project like this:
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I'm losing my mind (help post)
Maybe https://github.com/inconshreveable/ngrok/issues/408
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Reverse HTTP proxy over WebSocket in Go (Part 1)
In Go, inconshreveable/ngrok and coyove/goflyway is well known, especially ngrok is popular among developers as a SaaS service.
- 15 Command Line Tools which Spark Joy in Your Terminal
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
What are some alternatives?
pdfcpu - A PDF processor written in Go.
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
go-cron - A simple Cron library for go that can execute closures or functions at varying intervals, from once a second to once a year on a specific date and time. Primarily for web applications and long running daemons.
elastic - Deprecated: Use the official Elasticsearch client for Go at https://github.com/elastic/go-elasticsearch
go-torch
goriak - goriak - Go language driver for Riak KV
fzf - :cherry_blossom: A command-line fuzzy finder
elasticsql - convert sql to elasticsearch DSL in golang(go)
hub - A command-line tool that makes git easier to use with GitHub.
goes
excelize - Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
elastigo - A Go (golang) based Elasticsearch client library.