PlaceKit
Google Maps
Mapbox
OpenCage Geocoder
OpenStreetMap
Mapbox Studio
Woosmap
Algolia Places
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Our mission at PlaceKit is to become the go-to geocoding solution for developers. Existing solutions feel opaque as they're split across many indiscernible APIs, confusing pricing, and locking developers into their ecosystem. We put the focus on the developer experience, and the main PlaceKit benefits are:
โจ A single REST API with a worldwide addresses catalog and transparent per-request pricing with a free plan.
๐ฆ Integrate easily anywhere with any maps provider or JS framework thanks to our SDKs and OpenAPI reference.
โก๏ธ Blazing fast, typo-tolerant and high-relevance search powered by Algolia engine.
Example use-cases:
๐ Increase conversions with address autocomplete and form filling.
๐ Reduce miss-shipments with address validation.
โ Data normalisation.
๐บ๏ธ Search for places on a map.
๐ Country-restricted content with reverse geocoding.
Top features:
๐ ๏ธ Live Patching: with the amount of data, no provider can pretend to have it 100% right, so we'll let you fix addresses and make them instantly available to your users. Addressing one of the most missing features from other solutions.
๐ Store Locator: define your points of interest with free-form metadata and let your users find the nearest ones to their location.
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PlaceKit's answer
PlaceKit's answer
Algolia Places was an address autocomplete solution powered by the famous Algolia search engine and loved by developers. It eventually got sunset on May 2022, forcing its customers to compromise with other solutions.
We, two former employees working on Algolia Places, took on a mission to revive Algolia Places, and bring it further, making it a full geocoding service: meet PlaceKit!
PlaceKit's answer
What makes us really unique?
PlaceKit is the only geocoding solution providing the Live Patching feature aka fixing address / POIs on the fly and make it instantly available to your users.
I've been looking for an alternative to Algolia Places but the existing solutions are either too expensive or lack worldwide support. Placekit was the right solution for me: simple, efficient, affordable and loved the dashboard design.
As a designer who occasionally dives into development, I've discovered a hidden gem in Placekit's Locations Search API. It's a one-stop solution that seamlessly caters to all my location-related needs, providing an unparalleled user experience.
๐ With a few simple keystrokes, users can effortlessly fill their complete address, thanks to the lightning-fast autocomplete feature. This not only boosts conversion rates but also saves valuable time for both developers and end-users.
โก๏ธ Powered by Algolia's cutting-edge search engine, the API delivers blazing fast responses. Typos? Not a problem! Its typo-tolerant nature ensures accurate results even when users fumble their input.
๐ The worldwide places search capability is a game-changer for global applications. Whether it's finding the nearest coffee shop or a hidden gem in a remote town, Placekit has us covered. The API's high-relevance search guarantees that users discover precisely what they're looking for, no matter where they are.
๐ Integrating store location functionalities into my app has never been easier. The two-way geocoding feature not only enables me to pinpoint specific addresses but also converts coordinates into human-readable locations effortlessly.
๐ ๏ธ One of the most exciting features on the horizon is live patching. Soon, I'll have the power to patch errors instantly, making updates immediately available to my users. This level of control and agility is a game-changer for ensuring accurate and up-to-date information.
๐ฐ On top of everything, Placekit's transparent and simple pricing structure gives me peace of mind. I can focus on designing exceptional user experiences without worrying about complex pricing models.
๐ In a nutshell, Placekit's Locations Search API is a designer's dream. It combines functionality, speed, and ease of use to provide an unparalleled location search experience. Whether you're a designer, developer, or both, this API is a must-have tool in your arsenal. Take your app to new heights with Placekit! โจ๐
Based on our record, Matplotlib seems to be a lot more popular than PlaceKit. While we know about 114 links to Matplotlib, we've tracked only 2 mentions of PlaceKit. 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.
We recently integrated a new country-state boundary functionality into our PlaceKit API. To estimate performance, we tested our system against the Google Maps API and encountered unexpected anomalies. A manual review of each discrepancy led to an interesting discovery: we traced all anomalies back to Google Maps, offering a glimpse into its occasionally flawed calculations. - Source: dev.to / over 2 years ago
I've run into some issues implementing React Leaflet with NextJS for our admin panel at PlaceKit. So let's gather my findings into a single article, hoping it'll save you some time. - Source: dev.to / about 3 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
Google Maps - Find local businesses, view maps and get driving directions in Google Maps.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the 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.
NumPy - NumPy is the fundamental package for scientific computing with Python
OpenCage Geocoder - Easy, Open, Worldwide, Affordable Geocoding.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.