People Data Labs
Clearbit
ZoomInfo
Apollo.io
AeroLeads
Proxycurl by Nubela
Finder.io
Hunter.io
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Our focus is on enabling companies to build out their tools, product, or platform. With over 150 data points and 1.5 billion person profiles, we provide Enrichment API and Data License to data companies. Our broad data coverage includes data for Marketing Tech, Sales Tech, Fraud, Education, and eCommerce.
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Based on our record, Matplotlib seems to be a lot more popular than People Data Labs. While we know about 114 links to Matplotlib, we've tracked only 6 mentions of People Data Labs. 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.
Datagma is the tool I keep coming back to for this. Their /enrich endpoint accepts a personal email, cross-references it against social graph data โ primarily LinkedIn activity, public profiles, and email correlation patterns โ and returns a company match with title, seniority, and LinkedIn URL. In my testing across 500 Gmail signups from a fintech tool, Datagma resolved 41% to a confident company match, nearly... - Source: dev.to / 3 months ago
A few things worth flagging: PDL beats Clearbit's historical rates for US and Western European companies, but drops to ~52% match rate for Japan and South Korea specifically. Apollo underperforms on raw company matching but returns significantly more contacts per domain in Prospector-style queries than Clearbit's Prospector ever did โ the tradeoff is more stale titles in the result set. Hunter.io is fast and cheap... - Source: dev.to / 3 months ago
The real conclusion I'd push back on from every vendor comparison I've read: there is no single tool that solves reverse lookup at 80%+ accuracy with clean data. The waterfall is the answer. The question is whether you build it yourself with PDL + Hunter.io + Prospeo, or use a platform like Clay to abstract the plumbing โ and whether you're willing to pay FullEnrich's premium for that abstraction. - Source: dev.to / 3 months ago
One thing comparison guides consistently get wrong: Clay is not an enrichment API. It's a waterfall orchestration tool that calls People Data Labs, Apollo, Clearbit, and others in sequence for you. It's useful, but it adds 2โ8 seconds of latency per row in my runs and costs more per match than going direct. For a CRM webhook flow where you need sub-second enrichment calls, Clay is the wrong layer to hit first. - Source: dev.to / 4 months ago
For Twitter/X and Facebook profile-based lookups specifically โ when I'm trying to tie a social presence back to a work email โ Ziwa has been faster for me than PDL's direct API and cheaper than Clearbit for that specific use case. Worth testing if your ICPs are active on those platforms. - 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 / 9 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 10 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 / 11 months ago
Clearbit - Clearbit provides Business Intelligence APIs
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
ZoomInfo - ZoomInfo is a B2B database providing detailed business information on people and companies.
NumPy - NumPy is the fundamental package for scientific computing with Python
Apollo.io - Apolloโs predictive prospecting, sales engagement, and actionable analytics help the teams to reach its full revenue potential.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.