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.
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.
csknow
Posts with mentions or reviews of csknow.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-11.
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CSKnow Bots v0.1 Release (And Request For Feedback!)
Add a +1 here https://github.com/David-Durst/csknow/issues/3. For my next release, I'll have a better setup for people that want to try it on their own. I'll update this github issue when that's ready, and you'll get a message.
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Is evaluating maps by number of pre-aim angles a good idea?
Thanks for sharing! I joined the discord. Feel free to share (or extend/modify). Everything is under an MIT license: https://github.com/shacklettbp/csknowviz/blob/main/LICENSE, https://github.com/David-Durst/csknow/blob/hand_visibility/LICENSE
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Why Is A GOTV Demo More Accurate Than A POV Demo?
You can see my config here.
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A Python library to parse CSGO demo files
I disagree slightly. While I agree that Python is the language for doing data analysis, you will frequently do ETL in another language (SQL or Spark via its Scala or Python EDSLs are two examples). I treated the golang library as a stage in the ETL pipeline before switching to Python for the actual analysis.
csgo
Posts with mentions or reviews of csgo.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-11.
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A Python library to parse CSGO demo files
I'm a computer science student, and over the past year, I've been working on a Python library to parse CSGO demo files. The library not only supports demo parsing (parses all major events like damages, kills, bomb events, grenades, etc., along with player movement) but also has functions to calculate statistics and create visualizations, like grenade maps or animated player trajectory gifs. The repository for the library is available here: https://github.com/pnxenopoulos/csgo.
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Need advice about building out a model in terms of algorithm picking
https://github.com/pnxenopoulos/csgo is a python one and https://github.com/mrazza/gonav is a golang one. There are others out there
- Over 340 rounds of Mirage Ax1le has gotten 68 kills from catwalk while only dying their 26 times for +42 Kill Death Differential
What are some alternatives?
When comparing csknow and csgo you can also consider the following projects:
demoinfocs-golang - A Counter-Strike 2 & CS:GO demo parser for Go (demoinfo)
gonav - A Source Engine navigation mesh file parser written in Go.
FPSci
get5-web - An unsupported, proof-of-concept webpanel for servers using the get5 CS:GO server plugin. Please don't use it.
OneByteWallhack - CS:GO wallhack achieved by patching one byte of game memory. Written in Python 3.