Geocode Earth
Algolia Places
OpenCage Geocoder
Mapbox
Google Maps
Google Places API
OpenStreetMap
Geocode.xyz
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Geocode Earth provide quality Address Autocomplete, Reverse Geocoding & Place Geocoding solutions to small-to-medium sized businesses.
The company is run by the team behind the popular open-source geocoding engine Pelias, they are committed to preserving User Privacy and have been publishing Open Source GIS software since 2014.
Discounts are available for non-profit, academic & open-source projects
Geocode Earth MatplotlibGeocode Earth's answer
Geocode Earth was founded after the core geocoding team left Mapzen after its shutdown in 2017. After years of building open-source geocoding software, we knew we had the expertice and connections to build better geocoding for everyone.
Geocode Earth's answer
We are a founder-owned small business with an experienced team. We design our tools to have a privacy focus (we don't sell, or even keep, any data that could be considered sensitive, PII, etc). When you reach out to us, you'll get a real human support response, not AI.
Finally we have a commitment to open source: we contribute heavily back to both the open data projects that power our service, and to software like Pelias (which we created).
Geocode Earth's answer
Our commitment to privacy (we do not sell or even store any significant information about your use of our service), our fast, knowledgeable, human support team, and our fast and accurate services.
Based on our record, Matplotlib seems to be a lot more popular than Geocode Earth. While we know about 114 links to Matplotlib, we've tracked only 6 mentions of Geocode Earth. 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.
Geocoding is a really fun (and sometimes frustrating) problem I've been lucky enough to have been working to solve for over 10 years now. I joined Mapzen in 2015 which ostensibly was part of a Samsung startup accelerator, but looking back, it's more descriptive to say it was an open-source mapping software R&D lab. We built what is now foundational open-source geospatial tools like the Pelias geocoder (my team)... - Source: Hacker News / about 1 year ago
As the developer of this system, I concur with this; Protomaps is focused on map tiles, and can be used with other solutions such as http://geocode.earth for search. A small detail: I don't believe this is the absolute cheapest way to deliver map tiles. Renting an unmetered bandwidth server is always going to be the cheapest way to host content, but unmanaged servers don't give you SSL termination, infinite... - Source: Hacker News / over 3 years ago
The honest truth is that google places is simply the best in the world, and the 2nd place is far behind. that's probably foursquare. After that, mapbox, then mapquest, then https://geocode.earth/. All of those are paid. Source: about 4 years ago
The stack I describe in the post is only for map tiles - Map tiles are a good fit for CDNs because the input space is small (just Z/X/Y coordinates on a square grid) and thus very cacheable. Geocoding is a very different problem because the input space - human language - is much, much larger, and answering queries quickly to support features like autocomplete really requires a server with hot data in memory. One... - Source: Hacker News / over 4 years ago
If anyone comes across this looking for an alternative, we can help at Geocode Earth (https://geocode.earth). We're a small independent company that has been working on geocoding since 2013, first as part of Mapzen(https://mapzen.com), and then with our own self-funded business after Mapzen shut down at the start of 2018. Our core software, the Pelias Geocoder (https://pelias.io) is open source, and ironically we... - Source: Hacker News / over 4 years 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 / 4 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 / 7 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
Algolia Places - Intelligent address autocomplete for any <input>
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
OpenCage Geocoder - Easy, Open, Worldwide, Affordable Geocoding.
NumPy - NumPy is the fundamental package for scientific computing with Python
Mapbox - An open source mapping platform for custom designed maps. Our APIs and SDKs are the building blocks to integrate location into any mobile or web app.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
