ddev
bleve
ddev | bleve | |
---|---|---|
17 | 13 | |
2,380 | 9,666 | |
1.6% | 0.6% | |
9.8 | 8.0 | |
about 9 hours ago | 6 days ago | |
Go | Go | |
Apache License 2.0 | 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.
ddev
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Install Craft CMS v5 (alpha) with one command via DDEV
Do you already want to try the new version, which is currently in alpha state? With DDEV this is super simple, just paste one command into the terminal.
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Easy installation for WordPress + SQLite
For development, I will still prefer to continue with DDEV (a tool that I highly recommend). But the adventure with SQLite was very interesting, it really helped me not to pollute my termux.
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Working on Multiple Web Projects with Docker Compose and Traefik
I use https://ddev.com for almost all of my web project development, which basically automates all of this. Per-project databases, web containers, plugins, etc, and it’s now using Traefik as its router.
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Docker Acquires Mutagen
I use it with ddev for local development.
https://ddev.readthedocs.io/
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Every client asks: Why not Wordpress?
With the right combination of overlapping interests, a lot can get done and incredible things get build. See for example the Drupal book or DDEV--both are extremely active Drupal projects, with lots of community activity, outside of drupal.org.
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Using D9/D10 with Docker
You can go from 0 to 100 quickly with DDEV or Lando: - https://docs.lando.dev/ - https://ddev.readthedocs.io/
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WordPress compared to Drupal
For local: have you tried DDEV? Or Lando? they seem pretty fast to me. https://github.com/drud/ddev
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Any ideas to make local development easier for 15-20 sites?
Lando works great with Linux, use DDEV for Mac. Both are Docker-based.
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Integrate Svelte into PHP CMS: Typo3 and WordPress 👨🔧
With DDEV you can create Docker PHP + NodeJS environments which run on every operating systems in the same way. These environment configuration can be shared via git which makes open source software DDEV a great and robust choice for team projects.
- What is the coolest Go open source projects you have seen?
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?
lando - A development tool for all your projects that is fast, easy, powerful and liberating
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
mkcert - A simple zero-config tool to make locally trusted development certificates with any names you'd like.
elastic - Deprecated: Use the official Elasticsearch client for Go at https://github.com/elastic/go-elasticsearch
boilerplate-drupal-gatsby - Drupal + GatsbyJS Decoupled Starter Kit powered by Docksal
goriak - goriak - Go language driver for Riak KV
warden - Warden is a CLI utility for orchestrating Docker based developer environments [Moved to: https://github.com/wardenenv/warden]
elasticsql - convert sql to elasticsearch DSL in golang(go)
warden - Warden is a CLI utility for orchestrating Docker based developer environments
goes
Docker-Stack - This repo contains a simple Docker setup with minimal configuration and only few files you can drop into many PHP-based projects.
elastigo - A Go (golang) based Elasticsearch client library.