Latana
Tercept Unified Analytics
AdMeter
Morphio
GreyMetrics
Pega Marketing
Marketing Evolution
DataMyth
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
We built an advanced brand tracker so we could help solve the brand puzzle. More and more brands taking a bigger turn towards brand marketing over performance marketing. Marketplaces are becoming oversaturated and it's becoming harder to become noticed by your target audience. And it is also becoming really, really expensive. This is not a sustainable means of growth. But brand marketing is.
Brands know that if they achieve a high level of brand awareness, it will accelerate into sales further along the line. Most importantly, these brands are aware that an investment into brand awareness is an investment into the long-term growth of their business. But they don't know if this investment is making an impact, or if they would get the same results simply burning their money.
That's why we have developed brand analytics. Brand analytics is for brand managers what Google Analytics is for digital marketers. It provides them with an intuitive dashboard where they can see exactly their level of brand performance with target audiences, campaign impact, and how they fare against their competitors. These accurate insights can be used be brand managers to tailor their marketing for their audiences and improve brand performance - leading to growth and sales. Perfect!
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Based on our record, Matplotlib seems to be a lot more popular than Latana. While we know about 114 links to Matplotlib, we've tracked only 1 mention of Latana. 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.
The company that provided the data for the report is not actually a polling organization. It is a marketing firm whose competency appears to be conducting brand awareness studies. Source: 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 / 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 / 7 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
Tercept Unified Analytics - Tercept automatically aggregates and organizes all monetization data,analytics data and marketing data into one single dashboard with powerful querying and visualization capabilities. You can setup custom reports and automate 100% of your reporting.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
AdMeter - AdMeter is a cloud-based analytical platform that allows you to improve your marketing strategies by using accurate analytical reports and also understanding the behavior of your targeted customers.
NumPy - NumPy is the fundamental package for scientific computing with Python
Morphio - Morphio is an advanced-level marketing and analytics software solution that allows you to understand your business data and find the negative aspects of your business number before they start creating any problems.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.