Software Alternatives, Accelerators & Startups
Register | Login

DeltaSalesApp VS NumPy

Compare DeltaSalesApp VS NumPy and see what are their differences

Flowlu
All-in-one work management platform for team collaboration. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

DeltaSalesApp logo DeltaSalesApp

Field Sales Force Automation & Field Force Tracking Software

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • DeltaSalesApp Landing page
    Landing page //
    2021-09-30

Delta Sales App is a sales tracking software for field sales automation & employee location tracking to automate company sales and outside field sales activities with ease. This software is designed and developed for sales managers, distributors, brands to manage field sales forces activities. With the use of Delta Sales App, brands, distributors, sales managers can manage field sales employee activities and track their geo-location whereas field sales representatives having Delta Sales App installed in their handsets can automate their routine activities like order taking, payment collections, attendance making, applying for leave, expense management, and more.

  • NumPy Landing page
    Landing page //
    2023-05-13

DeltaSalesApp features and specs

  • Order Management
  • Attendance Recording/Monitoring
  • Expenses management
  • Stock Managment
  • Daily Status Tracking
  • work log

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

DeltaSalesApp videos

+ Add

Delta Sales App

More videos:

  • Demo - Delta Sales App

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to DeltaSalesApp and NumPy)

DeltaSalesApp

NumPy

Sales Force Automation
100 100%
Sales Force Automation
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Field Service Management
100 100%
Field Service Management
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using DeltaSalesApp and NumPy. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare DeltaSalesApp and NumPy

DeltaSalesApp Reviews

  1. Anmol Adhikari
    · Student at University ·
    One of the best application for sales field

    We can track the live location of the sales field person. The orders are also easy to enter as it saves a lot of time. The feature of dispatch is also easy to use and with the help of few clicks we can perform the sales related activities.

    🏁 Competitors: Salesforce Sales Cloud
    👍 Pros:    Saves a ton of time|Easy to use|Easy user interface|Realtime tracking & report|Full fledged dashboard and reporting|Automation and custom functions|Affordable price
  2. Suman Ghimire
    · Admin at Astra Pharmacy ·
    Great Experinece

    I was really having a problem keeping the party's details up to date and communicating to all the employees. All this was taking down the sales of the company and I was unable to hold everything at a balance. I thought about giving a try to the Delta sales app as it consists of almost every feature which I needed at that point in time. I implemented the app in my company and as expected delta sales app turned to be super helpful to my company.

    👍 Pros:    With just some taps i can have easy access, to a lot of features. party notes, beat plans, and announcement features are the ones i love the most. their live-tracking feature is something i should definitely not miss to admire.
    👎 Cons:    To get straight to the point, i haven't seen any cons till now from my first day of usage. but if i have to admit, i would say the addition of an sms alert for salesman is something the delta sales app is missing. this feature would be a great addition. besides that, i haven't found any cons in my usage so far.
  3. AnujGiri
    · sales team at Printing press ·
    This app is very easy to use and helpful customer support.

    Delta Sales APP that can be utilized by salespeople at any time and in any location with proper order, collection and complete report.

    🏁 Competitors: Bizom, Spotio
    👍 Pros:    The software is user friendly and easy to use.
    👎 Cons:    The app will be more better if it has ios version too.

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than DeltaSalesApp. While we know about 119 links to NumPy, we've tracked only 1 mention of DeltaSalesApp. 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.

DeltaSalesApp mentions (1)

  • Delta Sales App
    Delta Sales Appis a user-friendly cloud-based field sales tracking software that helps in managing sales of your business. Source: about 2 years ago

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
View more

What are some alternatives?

When comparing DeltaSalesApp and NumPy, you can also consider the following products

ReachOut - ReachOut is a field service management suite to streamline field processes with customizable mobile-based forms and workflow.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Smart Service - Smart Service's QuickBooks integration makes it the ultimate scheduling and dispatch software for HVAC, plumbing, pest control, and other service industries.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Oracle Siebel Field Service - Oracle's Siebel Field Service enables businesses to dramatically enhance their customer service offerings.

OpenCV - OpenCV is the world's biggest computer vision library

Loading...