pydocker-cli
By dennislwm
whereami
Uses WiFi signals :signal_strength: and machine learning to predict where you are (by kootenpv)
| pydocker-cli | whereami | |
|---|---|---|
| 1 | 11 | |
| 3 | 5,090 | |
| - | - | |
| 9.4 | 3.3 | |
| 3 months ago | 6 months ago | |
| Python | Python | |
| - | GNU Affero General Public License v3.0 |
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.
pydocker-cli
Posts with mentions or reviews of pydocker-cli.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-15.
-
What are your proudest python packages?
pydocker-cli
whereami
Posts with mentions or reviews of whereami.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-04.
- Whereami: Uses WiFi signals and machine learning to predict where you are
- `whereami` uses WiFi signals & ML to locate you (within 2-10 meters)
-
Triangulation by WiFi and Bluetooth for presence in rooms?
There’s a project called whereami that runs on Python and uses wifi signal strength to predict where a device is. I’ve used it, it’s pretty cool.
-
What are your proudest python packages?
|---------------------------------------------|------------------------------------| |yagmail| Most popular gmail python library | |cliche | Build a simple command-line interface from your functions | |brightml | Convenient Machine-Learned Auto Brightness | |whereami Uses WiFi signals and machine learning to predict where you are.| | textsearch | Find strings/words in text; convenience and C speed |
- Whereami uses WiFi signals and machine learning to predict where you are
- `whereami` uses WiFi signals & ML to locate you (within 2-10 meters)
- kootenpv/whereami
- 373 points in 4 hours
- `whereami` uses WiFi signals and ML to locate you (within 2-10 meters)
What are some alternatives?
When comparing pydocker-cli and whereami you can also consider the following projects:
yagmail - Send email in Python conveniently for gmail using yagmail
room-assistant - Presence tracking and more for automation on the room-level
whereami - Locate the current running executable and the current running module/library on the file system 🔎
openhab-addons - Add-ons for openHAB
cliche - Build a simple command-line interface from your functions :computer:
brightml - Convenient Machine-Learned Auto Brightness (Linux)
diceroll - A dice rolling module for Classic Python 2.5.
textsearch - Find strings/words in text; convenience and C speed :fireworks:
reader - A Python feed reader library.