scrapydweb
loghub
scrapydweb | loghub | |
---|---|---|
6 | 5 | |
3,009 | 1,530 | |
- | 3.0% | |
3.6 | 5.3 | |
about 2 months ago | 5 days ago | |
Python | ||
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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.
scrapydweb
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Best scrapydweb fork
It's seems like there are a lot of more recently updated forks https://github.com/my8100/scrapydweb/network
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What are your favorite open source scrapy projects?
You also have this as a managment tool https://github.com/my8100/scrapydweb
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The Complete Scrapyd Guide - Deploy, Schedule & Run Your Scrapy Spiders
There are many different Scrapyd dashboard and admin tools available, from ScrapeOps (Live Demo) to ScrapydWeb, SpiderKeeper, and more.
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The Complete Guide To ScrapydWeb, Get Setup In 3 Minutes!
ScrapydWeb is the most popular open source Scrapyd admin dashboards. Boasting 2,400 Github stars, ScrapydWeb has been fully embraced by the Scrapy community.
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Daily Share Price Notifications using Python, SQL and Africas Talking - Part Two
While I am aware that we could use Scrapyd to host your spiders and actually send requests, alongside with ScrapydWeb, I personally prefer to keep my scraper deployment simple, quick, and free. If you are interested in this alternative instead, check out this post written by Harry Wang.
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Scrapyd + Django in Docker: HTTPConnectionPool (host = '0.0.0.0', port = 6800) error.
If you're looking for an interactive scrapyd webinterface integrated with scrapyd, you can check https://github.com/my8100/scrapydweb. It is rich in features and can save your time in building your own web interface.
loghub
- Security+ 601 - Where to learn READING LOGS?
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SOC with machine learning
https://github.com/logpai/loglizer has an MIT license. Seems like they've done some of the heavy lifting already. If you're just looking for logs, check out https://github.com/logpai/loghub.
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PSA: PLEASE learn data structures and algorithms. The amount of people in DevOps who can't code is too damn high!
Here is an example apache log fie: If you want to try and prove me wrong write a script to find and return line numbers which contain the string "Directory index forbidden" or some other substring which is better then O(N).
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Any dataset that could be interesting to analyze using text network analysis?
Any text? How about Loghub? Maybe you could visualize links in error messages for failure analysis, for example does a seemingly harmless warning seem to be linked to a much worse problem that occurs later?
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Mining metrics from unstructured logs
Here is a summary for a log from the logpai/loghub dataset (kudos to the Logpai team for sharing this dataset):
What are some alternatives?
Gerapy - Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Django and Vue.js
coroot-aws-agent - A prometheus exporter that gathers metrics from AWS services.
scrapy-splash - Scrapy+Splash for JavaScript integration
HELK - The Hunting ELK
SpiderKeeper - admin ui for scrapy/open source scrapinghub
logparser - A machine learning toolkit for log parsing [ICSE'19, DSN'16]
SquadJS - Squad Server Script Framework
coroot-node-agent - A Prometheus exporter based on eBPF that gathers comprehensive container metrics
scrapeops-scrapy-sdk - Scrapy extension that gives you all the scraping monitoring, alerting, scheduling, and data validation you will need straight out of the box.
logparser - A library and a CLI tool for clustering unstructured logs.
scrapy-cloudflare-middleware - A Scrapy middleware to bypass the CloudFlare's anti-bot protection
loglizer - A machine learning toolkit for log-based anomaly detection [ISSRE'16]