DefiLlama
CoinGecko
CoinMarketCap
Moralis
One Click Crypto: AI + DeFi
DeFi Pulse
DexCheck
defi.watch
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
DefiLlama MatplotlibNo DefiLlama videos yet. You could help us improve this page by suggesting one.
DefiLlama might be a bit more popular than Matplotlib. We know about 142 links to it since March 2021 and only 114 links to Matplotlib. 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.
Building a crypto arbitrage bot across EVM chains comes down to three things: quotes from every chain in parallel, a fast comparison loop that spots price gaps larger than fees, and a slippage-tolerant executor that actually lands the trade before the gap closes. Arbitrage windows on EVM chains typically last under 30 seconds on majors and 2-10 seconds on L2s, which means your bot's latency budget is tight โ every... - Source: dev.to / 3 months ago
The best DCA bot strategy in 2026 is one that runs as a scheduled job without human intervention โ which means the swap API it calls must require no API key and no account. Dollar-cost averaging (DCA) is the most-executed automated strategy in crypto: cron-triggered swaps that buy a fixed dollar amount on a fixed cadence, regardless of price. On-chain DCA vaults collectively hold over $1.2 billion in TVL across... - Source: dev.to / 3 months ago
Building an AI agent for memecoin trading comes down to four pieces: an LLM that picks what to trade, a swap API that returns executable calldata, a wallet that signs transactions, and โ most importantly โ a slippage retry loop that handles the inevitable reverts. Memecoin volume on Ethereum and Base routinely exceeds $2 billion per day, and the share handled by autonomous agents is growing fast. But memecoins... - Source: dev.to / 3 months ago
DeFi yield farming now accounts for 36.5% of all DeFi activity, with total value locked peaking at $171.9 billion in late 2025 before stabilizing around $130-140 billion in early 2026 (DeFiLlama). Auto-compounding platforms like Beefy Finance run across 30+ chains, delivering APYs from 8% to 40% by automatically reinvesting rewards -- sometimes multiple times per day (CoinCodex). - Source: dev.to / 4 months ago
DeFiLlama provides a free, keyless API specifically designed for on-chain token pricing. Unlike CoinGecko's exchange-aggregated approach, DeFiLlama derives prices from on-chain DEX pools across 500+ chains tracking 7,000+ protocols. This makes it particularly useful for DeFi-native tokens that may not be listed on centralized exchanges. - Source: dev.to / 4 months ago
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 5 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 8 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
CoinGecko - CoinGecko is a free to use web-based and mobile application that provides financial market data for more than 2000 digital currencies.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
CoinMarketCap - Crypto-currency market capitalizations.
NumPy - NumPy is the fundamental package for scientific computing with Python
Moralis - Scalable, fast and robust web3 infrastructure to build dApps
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
