svg_utils
whereami
svg_utils | whereami | |
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2 | 11 | |
302 | 5,088 | |
- | - | |
0.0 | 3.3 | |
6 days ago | 5 months ago | |
Python | Python | |
MIT License | GNU Affero General Public License v3.0 |
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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.
svg_utils
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Is it possible to merge multiple Inkscape SVGs into a single file from the command line?
I have a hobby website where I can upload individual SVGs, and the server will combine these SVGs into a single file, which I can download and continue editing. For this I've been using this tool server side: https://github.com/btel/svg_utils, which is made for stacking SVGs for scientific publications, but it's not aware of Inkscape specific functions. I've just bumped into the issue that when I create two individual files which are using the same name (or ID) for a swatch (because one file is a modified copy of the other), the swatches will overwrite each other in the combined file. Also duplicate element IDs cause issues.
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Ask Anything Monday Weekly Thread
I looked first into svg_utils (https://github.com/btel/svg_utils) but was appalled at the dependencies. I still haven't even fully attempted a solution using it because I'd rather use anything else that is smaller.
whereami
- Whereami: Uses WiFi signals and machine learning to predict where you are
- `whereami` uses WiFi signals & ML to locate you (within 2-10 meters)
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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.
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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?
python-barcode - ㊙️ Create standard barcodes with Python. No external dependencies. 100% Organic Python.
room-assistant - Presence tracking and more for automation on the room-level
cf-stats - A github action based realtime Codeforces activity statistics card and badge generator for github readme
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.
pydocker-cli
textsearch - Find strings/words in text; convenience and C speed :fireworks:
yagmail - Send email in Python conveniently for gmail using yagmail
reader - A Python feed reader library.