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https://github.com/paulbricman/ideoscope
An instrument for quantifying, understanding, and optimizing your thinking.
https://github.com/paulbricman/ideoscope
nltk quantified-self streamlit tool-for-thought tools-for-thought
Last synced: 2 months ago
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An instrument for quantifying, understanding, and optimizing your thinking.
- Host: GitHub
- URL: https://github.com/paulbricman/ideoscope
- Owner: paulbricman
- License: mpl-2.0
- Created: 2021-09-27T06:58:43.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2022-11-16T08:47:49.000Z (about 2 years ago)
- Last Synced: 2023-03-06T22:14:56.422Z (almost 2 years ago)
- Topics: nltk, quantified-self, streamlit, tool-for-thought, tools-for-thought
- Language: Python
- Homepage: https://paulbricman.com/thoughtware/ideoscope
- Size: 217 KB
- Stars: 21
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
---
title: ideoscope
emoji: 🔬
colorFrom: green
colorTo: gray
sdk: streamlit
app_file: main.py
pinned: false
---
# Ideoscope
An ideoscope (noun. /aɪdɪɒskoʊp/, plural: ideoscopes) is an instrument for measuring your thought process through a host of novel metrics. It builds on top of the conceptarium and provides a window into your thinking in the form of an analytics dashboard full of stats and visualizations. Quantifying your thought process paves the way for a more intimate understanding of your thought patterns as a knowledge worker. The process of measurement, in turn, enables a host of strategies for nurturing your mind, such as A/B testing your routine for maximum generation of novel ideas (i.e. memetic birth rate) or setting monthly goals for the breadth of your perspective (i.e. memetic variability).
[Read more...](https://paulbricman.com/thoughtware/ideoscope)
# Installation
**Note**: In order for the metrics to be decently informative, it's recommended that you use your conceptarium regularly for around 2 months before conducting an ideoscopy.
The ideoscope can either be deployed from source or using Docker.
**Note**: Some of the metrics computed by the ideoscope are significantly more compute-intensive than the day-by-day needs of the conceptarium. For instance, measures of semantic space coverage rely on sampling a huge number of random points and checking whether they manage to "hit" one of your thoughts (i.e. Monte Carlo approximation). For this reason, it's recommended that you run the ideoscope on at least consumer-grade hardware (i.e. not on a Raspberry Pi).
### Docker
To deploy the ideoscope using Docker, first make sure to have Docker installed, then simply run the following.
```
docker run -p 8501:8501 paulbricman/ideoscope
```
Your ideoscope should be available at `localhost:8501`.
### From Source
To set up the ideoscope, clone the repository and run the following:
```
python3 -m pip install -r requirements.txt
python3 -m textblob.download_corpora
streamlit run main.py
```
Your ideoscope should be available at `localhost:8501`.
# Further Reading
- [conducting an ideoscopy](https://paulbricman.com/reflections/conducting-an-ideoscopy)
- [saving versus sampling](https://paulbricman.com/reflections/saving-versus-sampling)
- [ideoponics](https://paulbricman.com/reflections/ideoponics)
- [navigating worldviews](https://paulbricman.com/reflections/navigating-ideology)
# Screenshots
