Postico
MindsDB
Postico | MindsDB | |
---|---|---|
9 | 78 | |
477 | 21,354 | |
- | 1.7% | |
0.0 | 10.0 | |
about 2 years ago | 5 days ago | |
Python | Python | |
- | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Postico
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A collection of useful Mac Apps
Postico - Price: $35.99 (one-time purchase) PostgreSQL client for Mac that features a user-friendly interface and powerful features.
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macOS Dev Setup
If you prefer a GUI (Graphical User Interface), Postico has a simple free version that let's you explore tables and run SQL queries.
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Most popular PostgreSQL GUIs in 2022: the (almost) scientific list
Postico is macOS PostgreSQL client for reading data, doing basic manual data entry and editing your database structure.
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Show HN: PostgresML, now with analytics and project management
You might want to use a different elephant logo... the branding implies that it is an official part of the project.
E.g. Postico uses an elephant but not the _same_ elephant - https://eggerapps.at/postico/
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Recommendation for Software Engineer/Developer and Software architect apps?
TablePlus for multiple databases or Postico just for Postgres
- 波斯蒂科。适用于Mac的现代PostgreSQL客户端 (Postico: A Modern PostgreSQL Client for the Mac)
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Postico: A Modern PostgreSQL Client for the Mac
There are annoying show-stopper bugs that the developer refuses to fix, like this one for not being able to set options for null/empty values when importing data from csv ( https://github.com/jakob/Postico/issues/406). Or issues importing CSVs exported by Postico itself, that seems like a pretty basic requirement.
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Hacker News top posts: Mar 25, 2022
Postico: A Modern PostgreSQL Client for the Mac\ (98 comments)
MindsDB
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What’s the Difference Between Fine-tuning, Retraining, and RAG?
Check us out on GitHub.
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How to Forecast Air Temperatures with AI + IoT Sensor Data
If your data lacks uniform time intervals between consecutive entries, QuestDB offers a solution by allowing you to sample your data. After that, MindsDB facilitates creating, training, and deploying your time-series models.
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Fine-tuning a Mistral Language Model with Anyscale
MindsDB is an open-source AI platform for developers that connects AI/ML models with real-time data. It provides tools and automation to easily build and maintain personalized AI solutions.
- Vanna.ai: Chat with your SQL database
- FLaNK Weekly 08 Jan 2024
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MindsDB Docker Extension: Build ML powered apps at a much faster pace
MindsDB combines both AI and SQL functions in one; users can create, train, optimize, and deploy ML models without the need for external tools. Data analysts can create and visualize forecasts without having to navigate the complexities of ML pipelines.MindsDB is open-source and works with well-known databases like MySQL, Postgres, Redit, Snowflakes, etc.
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How Modern SQL Databases Are Changing Web Development - #4 Into the AI Era
Mindsdb is a good example. It abstracts everything related to an AI workflow as "virtual tables". For example, you can import OpenAI API as a "virtual table":
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🐍🐍 23 issues to grow yourself as an exceptional open-source Python expert 🧑💻 🥇
Repo : https://github.com/mindsdb/mindsdb
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AI-Powered Selection of Asset Management Companies using MindsDB and LlamaIndex
MindsDB is an AI Automation platform for building AI/ML powered features and applications. It works by connecting any data source with any AI/ML model or framework and automating how real-time data flows between them. MindsDB is integrated with LlamaIndex, which makes use of its data framework for connecting custom data sources to large language models. LlamaIndex data ingestion allows you to connect to data sources like PDF’s, webpages, etc., provides data indexing and a query interface that takes input prompts from your data and provides knowledge-augmented responses, thus making it easy to Q&A over documents and webpages.
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Using Large Language Models inside your database with MindsDB
Now, imagine if you can deploy these highly trained models in your database to get insights, make predictions, understand your users, auto-generate content, and more. MindsDB makes this possible! MindsDB is an open-source AI database middleware that allows you to supercharge your databases by integrating various machine learning (ML) engines.
What are some alternatives?
postgresml - The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
tensorflow - An Open Source Machine Learning Framework for Everyone
beekeeper-studio - Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
pgadmin4 - pgAdmin is the most popular and feature rich Open Source administration and development platform for PostgreSQL, the most advanced Open Source database in the world.
schemaspy - Database documentation built easy
CapRover - Scalable PaaS (automated Docker+nginx) - aka Heroku on Steroids
heroku-postico - Heroku Postgres connection tool for Postico
scikit-learn - scikit-learn: machine learning in Python
HomeBrew - 🍺 The missing package manager for macOS (or Linux)
lightwood - Lightwood is Legos for Machine Learning.