311 skills found · Page 6 of 11
PyGantt / PyGanttPlot gantt or waterfall charts
maxwellbade / Plotly Gantt Chartjust a plotly gantt chart with a bunch of configs that weren't easy to find
SergioStopkin / WideConsole:chart_with_upwards_trend: WideConsole is a simple program for plotting graphs, charts and outputting text to the terminal console
noirb / UIT ChartsPlotting and charts library for Unity UIToolkit
dhanushnayak / Django Project# django_dbms_project My project Natural Disaster Management System involves distribution of foods, cloths properly to natural disaster caused places. India’s size and diversity makes it one of the the most disaster-prone countries in Asia. Large coastal areas in the south suffer from cyclones, while the northern mountainous areas suffer from landslides and floods, and droughts regularly affect the country’s central region. Every year, these result in a huge loss of lives, damage infrastructure, and disrupt vital services. The country’s National Disaster Management Agency (NDMA) has just announced plans to build a national disaster database by 2020, which it hopes will help minimise the impact. With this natural disaster project we are able to give overall funds received to the government of Karnataka. We are to give store all the user information those able who are donating money for floods caused places.our database able to predict the cost management, proper distribution of foods medicines, cloths etc. Finally our database able to give overall money spent to all disaster caused places. In project user can also give feedback for supplied food and cloths that they have received good quality of products. Our web app will also gives the information about migrated people so that government can easily transfer funds, medicines, foods to the people. A major hurdle during the design of the project was displaying the web page of the Natural Disaster Management System. In our project we are using Django python web framework for web designing. Django is works on the principle of don’t repeat your yourself. For this database we are building dynamic web app. Since we are using python we are also able to plot graph pie charts and we are also using FusionChart. We are also using pandas for arranging data. Our web app consists of several forms for user requirements so that user can submit there feedback. #_________________________________________________________# COMMANDS 1.pip install -r required.txt 2.Install MongoDb Compass and run in localhost 3.go to downloaded folder 4.python manage.py makemigrations 5.python manage.py migrate 6.python manage.py createsuperuser 7.python manage.py collectstaic 8.python manage.py runserver https://127.0.0.1:8000/ #__________________________________________________________#
liskin / Arbtt ChartPlot charts from arbtt-stats to terminal
anteloc / Obsidian Grafika PluginObsidian plugin for creating plots, charts and graphs via Apache Echarts , Chart.js and visjs
cactusdynamics / WesplotA live/real-time plotting tool that takes stdin data and pipes it into websocket and into a JavaScript interactive chart
robmaunder / Exit MatlabTools for plotting Extrinsic Information Transfer (EXIT) charts in Matlab
serge-tochilov / Barchart3d Plotly3D bar chart for Plotly (python)
ofosho / ChartPlotterAn application to view detailed information from a list using the cappuccino framework
harbourlab / PiePartyrepresent each cell in UMAP plots as a pie chart
RohitRajSingh001 / EV Population AnalysisThis project analyzes Electric Vehicle (EV) registration data using Python. It includes data cleaning, visualization, and trend analysis with tools like Pandas, Matplotlib, and Seaborn. Key insights include EV growth trends, range comparisons, and CAFV eligibility distribution, presented through charts like box plots, scatter plots, and heatmaps.
roannav / 30DayChartChallenge2022Data visualization charts made mostly with Python, matplotlib, pandas, and numpy, and some scipy, plotly, seaborn, holoviews bokeh, streamlit, and R. Dataviz on Twitter. #30DayChartChallenge
dbuezas / BunbookA VS Code notebook extension for running TypeScript with Bun. Fast startup, shared state across cells, inline Plotly charts, and full TypeScript intellisense.
vokkim / Tuktuk Chart PlotterChart plotter with Signal K and MBTiles support
ept / PlotkitGit import of Alastair Tse's chart and graph plotting library for Javascript
Gagniuc / Markov Chains Prediction FrameworkThis application makes predictions by multiplying a probability vector with a transition matrix multiple times (n steps - user defined). On each step the values from the resulting probability vectors are plotted on a chart. The resulting curves on the chart indicate the behavior of the system over a number of steps.
Ehtijad-Ali / DATA VISUALIZATION WITH PYTHONData visualization with Python is a crucial technique for interpreting complex data sets. Using libraries like Matplotlib, Seaborn, and Plotly, you can create a wide range of visual representations, including bar charts, line graphs, heatmaps, and scatter plots.
Gagniuc / Predictions With Markov ChainsPredictions with Markov Chains is a JS application that multiplies a probability vector with a transition matrix multiple times (n steps - user defined). On each step, the values from the resulting probability vectors are plotted on a chart. The resulting curves on the chart indicate the behavior of the system over n steps.
