| mbr/flask-bootstrap |
1,426 |
|
5,438 |
78 |
over 6 years ago |
36 |
January 11, 2017 |
58 |
other |
Python |
| Ready-to-use Twitter-bootstrap for use in Flask. |
| fabston/TradingView-Webhook-Bot |
1,007 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
Python |
| 📊 Send TradingView alerts to Telegram, Discord, Slack, Twitter and Email. |
| ytorg/Yotter |
465 |
|
0 |
0 |
over 4 years ago |
0 |
|
63 |
agpl-3.0 |
Python |
| Youtube and Twitter with privacy. |
| kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis |
460 |
|
0 |
0 |
about 2 years ago |
0 |
|
21 |
mit |
Python |
| Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall |
| FedStoa/moa |
313 |
|
0 |
0 |
over 3 years ago |
0 |
|
35 |
mit |
Python |
| A Mastodon, Twitter, and Instagram Cross-poster |
| authlib/loginpass |
205 |
|
0 |
0 |
over 4 years ago |
0 |
|
20 |
bsd-3-clause |
Python |
| Login with Google, GitHub, Twitter, Facebook and many other networks. |
| batuhaniskr/twitter-intelligence |
169 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
mit |
Python |
| Twitter Intelligence OSINT project performs tracking and analysis of the Twitter |
| rhnvrm/labeled-tweet-generator |
102 |
|
0 |
0 |
about 9 years ago |
0 |
|
2 |
|
HTML |
| Search for tweets and download the data labeled with its polarity in CSV format |
| mitmedialab/gobo |
84 |
|
0 |
0 |
about 4 years ago |
0 |
|
33 |
mit |
JavaScript |
| 💭 Gobo: Your social media. Your rules. |
| jdwittenauer/twitter-viz-demo |
61 |
|
0 |
0 |
almost 10 years ago |
0 |
|
0 |
|
Python |
| Twitter visualizaton experiment using various python-based technologies. |