google-search-results-php VS Metabase

automatic-images-classifier-generator is a machine learning tool written in Python using SerpApi, Pytorch, FastAPI, and Couchbase to provide automated large dataset creation, automated training and testing of deep learning models with the ability to tweak algorithms, storing the structure and results of neural networks all in one place.

In previous weeks, we have created an object in the database, and stored machine learning training, testing, and dataset information within it. This week we will do the final step necessary to release the source code to the public, unit testing machine learning tool. The metrics in these tests will give an idea about which ml models can be created, and which ones cannot be. These unit tests should not be confused with testing machine learning models themselves. These tests are checking the scalability aspect of machine learning and not the individual ML Models. I will talk about the source code release next week in the conclusion part. In the meantime, you may Register to Claim Free Credits to get to know SerpApi ecosystem.

{ "results for image 1": { "knowledge_graph": { "title": "Stairs", "description": "Stairs are a structure designed to bridge a large vertical distance by dividing it into smaller vertical distances, called steps. Stairs may be straight, round, or may consist of two or more straight pieces connected at angles. Types of stairs include staircases, ladders, and escalators." }, "organic_results": [ { "position": 1, "title": "Stairs - Wikipedia", "link": "https://en.wikipedia.org/wiki/Stairs", "snippet": "Stairs are a structure designed to bridge a large vertical distance by dividing it into smaller vertical distances, called steps. Stairs may be straight, ..." }, ... other organic results { "position": 4, "title": "Foto HD de Claudio Schwarz - Unsplash", "link": "https://unsplash.com/es/fotos/ipcsI15th5I", "snippet": "Nuevo: Unsplash ahora está disponible en varios idiomas. Puedes volver a cambiar al inglés cuando quieras. Próximamente habrá más idiomas." } ], "inline_images": [ { "source": "https://www.flickr.com/photos/thepiratesgospel/6107309586/", "thumbnail": "https://serpapi.com/searches/62e907cb5b54ef5af08d6ff2/images/6886d2b2c5499da05d656e39563b001cc2a1b485150c7a5761ed1190edbccb0f.jpeg" }, ... other thumbnails { "source": "https://en-gb.facebook.com/qualitycarpetsdirect/posts/", "thumbnail": "https://serpapi.com/searches/62e907cb5b54ef5af08d6ff2/images/6886d2b2c5499da08e88e75176317a1c08b36d2c2800f2329de12d162eab24e9.jpeg" } ] }, ... other results "results for image 5": { "knowledge_graph": { "title": "Art", "description": "Art is a diverse range of human activity, and resulting product, that involves creative or imaginative talent expressive of technical proficiency, beauty, emotional power, or conceptual ideas." }, "organic_results": [ { "position": 1, "title": "Art.com | Wall Art: Framed Prints, Canvas Paintings, Posters ...", "link": "https://www.art.com/", "snippet": "Shop Art.com for the best selection of wall art and photo prints online! Low price guarantee, fast shipping & free returns, and custom framing options ..." }, { "position": 2, "title": "Art - Wikipedia", "link": "https://en.wikipedia.org/wiki/Art", "snippet": "Art is a diverse range of human activity, and resulting product, that involves creative or imaginative talent expressive of technical proficiency, beauty, ..." } ], "inline_images": [ { "source": "https://www.leireunzueta.com/journal/tag/summer", "thumbnail": "https://serpapi.com/searches/62e907d0e13508b8c60f4c3b/images/6c0c95a05f3c4aa45e83ffe98a6112df67130eb20d484feef2c133f72ab49a3f.jpeg" }, ... other thumbnails { "source": "https://unsplash.com/photos/onMwdrVfMuE", "thumbnail": "https://serpapi.com/searches/62e907d0e13508b8c60f4c3b/images/6c0c95a05f3c4aa4deae63325b5a810305c9d32f794fc72c1849753080f116fa.jpeg" } ] } }

We've built https://serpapi.com

We've invented the industry what you referring as "data type specific APIs"; APIs that abstract away all proxies issues, captcha solvings, various layouts support, even scrapping-related legal issues, and much more to a clean JSON response every single call. It was a lot of work but our success rate and response times are now rivaling non-scraping commercial APIs: https://serpapi.com/status

I think the next battle will be still legal despite all the wins in favor of scrapping public pages and common sense understanding this is the way to go. The EFF has been doing an amazing work in this world and we are proud to be a significant yearly contributor to the EFF.

This week, we will explore the combined capabilities of SerpApi’s powerful Google Images Results Scraper API on top of FastAPI’s fast to build web framework. We will start by creating a simple image database creator with sync method, and build up from there.

Originally published at https://serpapi.com on May 4, 2022.

If you test the search here https://serpapi.com/ you have a JSON output to the right, does this contains everything you need? If so then you can get this with a fairly easy script. But as this is a business question it looks like something for this site.

SerpApi | https://serpapi.com | Senior Web Engineer | Based in Austin, TX but everyone is remote | Full-time | ONSITE or FULLY REMOTE (We're a remote first company) | $150k 1099 for US or local avg + 20% for outside the US

SerpApi is the leading API to scrape and parse search engine results. We deeply support Google, Google Maps, Google Images, Bing, Baidu, and a lot more.

Our current stack is Ruby, Rails, MongoDB, and React.JS. We are looking for a senior web designer, a senior Front End Engineer, and a Senior Backend Engineer. For the senior web designer position, we're looking for someone to give us a strong visual direction and experience in CSS, JS, or React are definitely plusses but not required.

We have an awesome work environment: We are a remote first company. We do continuous integration, continuous deployments, code reviews, code pairings, profit sharing, and most of communication is async via GitHub. We value super strongly transparency, do open books, have a public roadmap, and contribute to the EFF.

Apply at: https://serpapi.com/team

By the way, if you're looking for a programmatic data extraction solution from Google (PlayStore, Maps, Images, YouTube..), Yahoo!, Naver, Bing and so on, have a try SerpApi 👀

{ "position": 1, "title": "Coffee - Wikipedia", "link": "https://en.wikipedia.org/wiki/Coffee", "displayed_link": "https://en.wikipedia.org › wiki › Coffee", "thumbnail": "https://serpapi.com/searches/62436d12e7d08a5a74994e0f/images/ed8bda76b255c4dc4634911fb134de5319e08af7e374d3ea998b50f738d9f3d2.jpeg", "snippet": "Coffee is a brewed drink prepared from roasted coffee beans, the seeds of berries from certain flowering plants in the Coffea genus. From the coffee fruit, ...", ... }

Remote Code Execution via H2

We've used it for about a year - Blazer is okay if you need a quick SQL query console, but we found it lacking as an actual business intelligence tool. The support for graphs and dashboards is limited, for graphs it requires you to structure the query in an exact way as you can see in the Blazer readme.

After some research on available alternatives that don't break the bank, we decided to deploy a self-hosted instance of Metabase[0]. This took only a few minutes to set up using their Docker image[1] and it has much better graphing capabilities and you can easily put a custom layout together for dashboards. Upgrading is similarly easy (just redeploy). Also easy to configure: data sources, hiding or changing the data type of a column, G Suite sign-in for our domain. Highly recommend it if you need anything more than Blazer's table output.

[0]: https://github.com/metabase/metabase

I've never used Tableau, but heard a lot of hate about it. However, in my previous role, we were big fans of Metabase (https://metabase.com). You can also self-host it, which was a huge win for us.

It seems folks want a working example. Here's one in prod:

Metabase is a BI tool, backend written mostly in Clojure. Like basically all BI tools they have this intermediate representation language thing so you write the same thing in "MBQL (metabase query language)" and it theoretically becomes same query in like, Postgres and Mongo and whatever. End user does not usually write MBQL, it's a service for the frontend querybuilding UI thing and lots of other frontend UI stuff mainly in usage.

Whole processing from MBQL -> your SQL or whatever is done via a buncha big-ass transducers. Metabase is not materially faster than other BI tools (because all the other BI tools do something vaguely similar in their langs) but it's pretty comparable speed and the whole thing was materially written by like 5 peeps

https://github.com/metabase/metabase/blob/master/src/metabas...

(nb: I used to work for Metabase but currently do not. but open core is open core)

They haven't released the source, and the compiled versions are non-trivial to diff (e.g. there are nondeterministic numbers from the clojure compiler that seem to have changed from one to the other, and .clj files have been removed from the jar).

The old version has `hash=1bb88f5`, which is a public commit: https://github.com/metabase/metabase/commit/1bb88f5

We are unsure about the right license to use, so this is a great feedback. We had a MIT license one week ago that we know that we cannot hold on long term and we felt we were lying to the community by keeping an MIT license and changing it in one year.

By using AGPL, we feel it's the right level of restriction. It's the license used by Metabase for example (https://github.com/metabase/metabase) that many companies use internally.

The solution really depends on what sort of problems you are trying to solve and who your customers are.

There are a fair few low-code solutions out there for reporting and data visualisation that are great for finance and marketing teams for example. e.g. https://metabase.com/ , https://evidence.dev/

For multipurpose SMB workflows and organisational processes, I have used n8n in the recent past and found it was quite good and incredibly easy to maintain. https://n8n.io/engineering-resources/

For enterprise processes I'd go with Camunda (solely based on recommendations and not first hand experience). Although only parts of their platform are OSS https://github.com/camunda

Bear in mind that some of these are not suitable if you want to build something that competes with them while taking their OSS code. But are perfectly fine otherwise.

Anyway, I have a collection of scripts that merge ActivityWatch data from all my machines and WakaTime exports to a PostgreSQL database which I then query with a project called Metabase. If you're curious, the scripts are in a repository called sqrt-data. I've been playing with this for ~4-5 years already I think.

Metabase | https://metabase.com | REMOTE | Full-time | Backend, Frontend, Full Stack, and DevOps engineers

Metabase is open source analytics software that lets anyone in your company rummage around in the databases you have. It connects to a number of databases / data warehouses (BigQuery, Redshift, Snowflake, Postgres, MySQL, etc).