Ferret VS bathyscaphe

Compare Ferret vs bathyscaphe and see what are their differences.

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Ferret bathyscaphe
- 1
5,616 92
0.6% -
3.1 5.6
24 days ago 10 months ago
Go Go
Apache License 2.0 GNU General Public License v3.0 only
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.

Ferret

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

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

bathyscaphe

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

What are some alternatives?

When comparing Ferret and bathyscaphe you can also consider the following projects:

colly - Elegant Scraper and Crawler Framework for Golang

tor-controller - Tor toolkit for Kubernetes (Tor instances, onion services and more)

google-search-results-golang - Google Search Results GoLang API

cryptogalaxy - Get any cryptocurrencies ticker and trade data in real time from multiple exchanges and then save it in multiple storage systems.

Geziyor - Geziyor, blazing fast web crawling & scraping framework for Go. Supports JS rendering.

Pholcus - Pholcus is a distributed high-concurrency crawler software written in pure golang

funk-server - fast logging collector for orchestrationsystem (docker, docker swarm, k8s)

jsonrpconion - Library for building JSON RPC services on Tor network

gonion - Golang Client for querying Tor network data using the Onionoo service.

gopixabay

elastic-query-export - 🚚 Export Data from ElasticSearch to CSV/JSON using a Lucene Query (e.g. from Kibana) or a raw JSON Query string