
Ollama
LM Studio
Hugging Face
Jan.ai
LangChain
GPT4All
Claude AI
OpenAI
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Ollama
PlotlyOllama is recommended for businesses and teams seeking an efficient project management solution. It is especially useful for remote teams, startups, and any organization looking to enhance collaboration and project tracking capabilities.
Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
Based on our record, Ollama should be more popular than Plotly. It has been mentiond 286 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Here's how to build a local PDF summarizer with Ollama and Llama 3, plus an honest look at where local wins and where it doesn't. - Source: dev.to / 6 days ago
The first step is getting Ollama on your machine. Visit ollama.com, click Download, and install the version for your operating system [2]. Once installed, verify itโs working by opening your terminal or Command Prompt and running:. - Source: dev.to / 9 days ago
I wanted an AI code reviewer that was 100% private, free, and actually understood the context of my entire project. So, I built one using Python and Ollama. - Source: dev.to / 10 days ago
Hi, you should try https://ollama.com/ which is imo the most convenient way to run local LLMs (assuming your hardware allows). - Source: Hacker News / 11 days ago
Agentic coding runs through Aider, configured to talk to local Ollama models by default and fall back to the free tiers on Groq and OpenRouter when a task wants more horsepower. Same agent, same workflow, whether it's fully offline or tapping a free hosted model. - Source: dev.to / 12 days ago
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
LM Studio - Discover, download, and run local LLMs
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Jan.ai - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs like OpenAIโs GPT-4 or Groq.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.