Skyvia
Zapier
Xplenty
Workato
AWS Glue
AWS Database Migration Service
Microsoft Power Automate
Stitch
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Skyvia is a no-code, cloud-based data integration platform that helps organizations connect, move, and manage data across cloud applications, databases, and file storage systems. It supports a wide range of integration scenarios, including ETL, ELT, reverse ETL, bi-directional data synchronization, data replication, backup, and workflow automation.
With more than 200 pre-built connectors, Skyvia enables integrations between analytics platforms and popular databases and data warehouses such as SQL Server, MySQL, PostgreSQL, Amazon Redshift, Google BigQuery, and Snowflake, as well as cloud applications like Salesforce, HubSpot, and Marketo. Data can also be exchanged via CSV files, FTP, Dropbox, and Google Drive.
Skyvia supports both simple point-to-point integrations and advanced data pipelines with multiple sources and complex logic using its Data Flow and Control Flow components. In addition, Skyvia Connect provides real-time access to business data by exposing it via REST APIs as OData or SQL endpoints, making integrated data easily consumable by BI and analytics tools such as Power BI and Looker Studio.
Skyvia MatplotlibBased on our record, Matplotlib seems to be a lot more popular than Skyvia. While we know about 114 links to Matplotlib, we've tracked only 2 mentions of Skyvia. 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.
You can try https://skyvia.com/, they seem to have a free product to do this, but it's pretty limited in the free version. Dataloader.io also can do this, but it's $300 a month to unlock SFTP exports. Source: almost 5 years ago
Skyvia.com โ Cloud Data Platform, offers free tier and all plans are completely free while in beta. - Source: dev.to / about 5 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 / 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
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Xplenty - Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.
NumPy - NumPy is the fundamental package for scientific computing with Python
Workato - Experts agree - we're the leader. Forrester Research names Workato a Leader in iPaaS for Dynamic Integration. Get the report. Gartner recognizes Workato as a โCool Vendor in Social Software and Collaborationโ.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.