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Bitwave CLI
Cryptio
Put agents to work inside Bitwave.
Bitwave CLI allows an agent to connect to Bitwave and perform work using the data and functionality already available within the platform.
Through the CLI, agents can:
Access Bitwave data Retrieve transactions Add and retrieve wallets Check balances Categorize transactions Run balance reports Generate inventory views Support other repeatable accounting workflows
Instead of manually navigating through the same steps each time, finance teams can give an agent a task and allow it to use Bitwave’s tools to complete the underlying work.
The goal is straightforward: automate more of the repetitive work surrounding financial operations so people can focus on reviewing results, resolving exceptions, and making decisions.
Let an agent build a set of books
Bitwave CLI can also operate outside an organization’s primary Bitwave environment.
An agent can use the CLI to create a lightweight, local general ledger for a specific project or accounting exercise. It can record activity, generate reports, and share the resulting set of books through a human-readable Bitwave interface.
For example, a user could ask an agent to:
Build a depreciation schedule for construction costs Create a project-specific ledger Produce a balance sheet Generate a profit and loss statement Model and document a discrete accounting scenario The agent can build the work product locally and then share it through Bitwave for someone to inspect and use. This creates a practical bridge between work completed autonomously by an agent and the human review that financial operations still require.
Plotly Bitwave CLINo features have been listed yet.
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.
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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 / 6 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 / almost 2 years 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
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.
Cryptio - Accounting & analytics solution for your crypto portfolio
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
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.
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