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indoor friendship plant

indoor friendship plant Shop 'Friendship Plants – Pilea involucrata' Care & Growing Guide |Planet Desert

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indoor friendship plant Shop 'Friendship Plants – Pilea involucrata' Care & Growing Guide |Planet DesertThe Friendship Plant, known as Pilea involucrata, is a compact, fast growing houseplant beloved for its deeply textured leaves and easygoing nature. Popular among plant lovers of all skill levels, it gets its name from how easily it can be propagated and shared with friends, making it a favorite for gift giving and plant swaps. In nature, it often grows as a groundcover or along shaded forest floors, which is why it prefers indirect light and moderate

The Friendship Plant, known as Pilea involucrata, is a compact, fast-growing houseplant beloved for its deeply textured leaves and easygoing nature. Popular among plant lovers of all skill levels, it gets its name from how easily it can be propagated and shared with friends, making it a favorite for gift-giving and plant swaps In nature, it often grows as a groundcover or along shaded forest floors, which is why it prefers indirect light and moderate humidity in home settings. 

Native to Central and South America, it's also sometimes called Moon Valley Pilea due to the dramatic craters and ridges on its leaves. 

The Friendship Plant has deeply veined, almost puckered foliage, which gives the leaves a three-dimensional texture.

These oval-shaped leaves typically grow in opposite pairs and feature a lush green hue with contrasting reddish-brown undersides or veins.

Its low, bushy form and trailing growth habit make it a great choice for terrariums, hanging baskets, or small pots on windowsills.

This plant remains compact and manageable, typically grows up to 12 inches tall and wide.

While it rarely outgrows its container quickly, its rapid vegetative growth makes it satisfying to watch as it fills out over time.

The compact form also makes it well-suited to small spaces and tight corners.

The friendship plant blooms in summer and produces tiny pink or pale green flowers in optimal conditions. These blooms are not especially showy and are often overlooked, but they add a subtle charm when they appear. However, the plant’s true appeal lies in its lush, velvety leaves rather than its blossoms. 

When and How to Water Your Friendship Plant 

The Friendship Plant prefers slightly moist but never soggy soil. It can tolerate short dry spells, making it forgiving if you miss a watering. Always check the top inch of soil—if it’s dry, it’s time to water. Overwatering is one of the most common problems, so err on the side of caution and use pots with drainage holes. Friendship Plant thrives with consistent moisture, needing water every 5-7 days during growth and 10-14 days during dormant periods. 

From March to September, during its active growing season, water your plant every 5–7 days with about ½ to 1 cup of water per session, depending on pot size. The soil should remain evenly moist without becoming waterlogged. Humid conditions and higher temperatures during this period mean your plant may need water more frequently.

From October through February, during the plant’s dormancy, reduce watering to once every 10–14 days using ¼ to ½ cup of water. Lower light levels and slower growth reduce its need for moisture, so allowing the soil to dry a bit more is key to avoiding root rot.

Light Requirements – Where to Place Your Friendship Plant 

When grown indoors, the popular Friendship Plant thrives in bright, indirect light for 6–8 hours a day, and should be placed near east- or north-facing windows for best results.

Inside the home, choose a bright spot away from the direct sun, which can scorch the delicate leaves.

Filtered sunlight or a sheer curtain is perfect. LED lights can also supplement low-light rooms. Rotate the plant weekly to ensure even growth.

When growing outdoors, Friendship Plants should be placed in partial shade or filtered sunlight, receiving 4–6 hours of gentle morning light.

Harsh afternoon rays should be avoided as they may bleach or burn the foliage. A covered patio or shaded greenhouse works well for outdoor growing in warm months. 

Optimal Soil & Fertilizer Needs 

The Friendship Plants grow best in a lightweight, well-draining potting mix and should be fertilized once a year in spring. Use a soil mix designed for houseplants or African violets, which holds moisture without becoming soggy. Planet Desert specializes in succulents and has specialized potting soil, opens in a new tab that includes an organic substrate with mycorrhizae to help with the growth of a healthy root system to help your Pilea plant thrive.  

Fertilize your Pilea involucrata during the growing season using a diluted balanced liquid NPK fertilizer of about 5-10-5. Fertilization supports lush foliage and compact growth. Do not fertilize during the dormant period from late fall through winter, as the plant’s growth slows and excess nutrients may cause root stress. Resume feeding in early spring once new growth appears.

Indoor Growing Friendship Plant Requirements 

When grown indoors, the Friendship Plant prefers temperatures between 65–75°F, high humidity around 50–70%, and bright, indirect light. Keep your plant away from drafts, AC vents, and radiators. Boost humidity with a pebble tray or humidifier. Bathrooms and kitchens often offer naturally higher humidity, making them great placement options. This plant prefers consistency—avoid sudden temperature drops or spikes, which can stress the plant. While it can tolerate slightly lower humidity, it performs best when the air around it remains moist and warm. 

Hardiness Zones & More 

In the United States, this is mostly an indoor plant, but if you live in southern Florida or Hawaii, then you can cultivate it outdoors in USDA zones 11-12.

In these zones, it enjoys filtered light, high humidity, and shelter from wind and sun. 

Even brief exposure to temperatures below 50°F can result in leaf drop, wilting, or permanent stem damage.

For gardeners in cooler climates, it’s crucial to bring plants indoors before nighttime temperatures fall, ideally keeping them in a stable environment with warm temperatures and consistent humidity year-round. 

Wildlife – Friendship Plant Flowers Attract the Following Friendly Pollinators 

The Friendship Plant can occasionally attract small pollinators such as fungus gnats and beneficial springtails in its natural environment. While not a pollinator magnet like flowering species, it may still host tiny insects in humid conditions, especially if placed near other tropical plants. These creatures help maintain soil balance and often go unnoticed.

According to the ASPCA, Pilea involucrata is considered non-toxic to humans, dogs, and cats, making it a pet-friendly option for indoor gardeners. It’s a great choice for households with pets or small children. 

How to Propagate Your Friendship Plant 

The most effective method to propagate your Friendship plant is through stem cuttings. Select a healthy stem with several leaves and cut a 4–6-inch section just below a leaf node. Remove the lower leaves and place the cutting in water or moist soil. If rooting in water, wait until the roots are about 1 inch long before transplanting into soil. Keep the cuttings in a warm, humid place with indirect light. Roots typically form within 2–3 weeks. Maintain light moisture during this process. This ease of propagation makes it a perfect “friendship” gift—affordable, personal, and a living symbol of connection. 

Key Takeaways

  1. The Friendship Plant is a popular houseplant, admired for its compact size, easy care, and soft, quilted leaves that add rich texture to indoor spaces.
  2. Its vibrant, crinkled foliage features deep green leaves with coppery or bronze undertones, making it a standout in terrariums, desktops, or small pots.
  3. While not a true succulent, the Friendship Plant is moderately drought-tolerant, meaning it can handle short dry spells but still prefers evenly moist soil for optimal growth.
  4. As its name suggests, the Friendship Plant is often shared among friends, making it a thoughtful, symbolic gift that’s easy to propagate and pass along.
  5. This low-growing tropical plant thrives in warm, humid environments, making it ideal for bathrooms or kitchens where the humidity mimics its native Central and South American habitat.

The Bottom Line 

Overall, the Friendship Plant (Pilea involucrata) is a charming, pet-safe houseplant loved for its quilted foliage and lush, compact growth. With its fast growth, unique foliage, and friendly reputation, it’s no surprise that the Friendship Plant is a staple in many houseplant collections. It’s easy to propagate, beginner-friendly, and makes an attractive addition to shelves, plant stands, or terrariums. Whether you're just starting out or expanding your green space, this delightful plant is both a visual treat and a reminder that good things are meant to be shared.

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Kirsten
Draper, US
★★★★★ 5
Holds a decent amount of jewelry!
Color: Carbonized Brown, Color: Carbonized Brown
I was quite impressed with this little jewelry box. Although it is on the smaller side, it utilizes every bit of the storage space available really well. I’d ultimately love to get a bigger armoire- as it is, this jewelry box contains what I wear most often, but I have a larger collection than this particular jewelry box can hold- my plan is to find a larger jewelry armoire that resembles what my mother had because I loved that one and then passed this one down to my daughter who loves it. For its size, it does absolutely hold a lot. I definitely underestimated how much it would hold. I love that there are drawers and well. I would love to see the ring area hinged so that I don’t have to reposition it when I’m done grabbing my rings, I think it’s a really cool, unique way to approach that particular area. I love that every little bit at this jewelry box is designed to have utility. I hate wasting space and time and I love good organization so it’s been really nice being able to pack as much as I can in there. The top opens up to space for earrings and other miscellaneous items. There are both open and more structured components. And the space for bracelets rotates, which is really nice- I didn’t realize that it rotated and I was a little bit worried that I was gonna constantly knock things down while I was reaching through or something. There is lots of room inside both doors for necklaces, and it fits a lot more than I thought it would. The wood stain is a really pretty kind of ashy natural stain- the sort of grey tint is really nice and it’s gorgeous. I’m not a huge fan of mirrors as far as the front goes, but I do have an artist in house who is really good at coming up with stuff for this, just a little ways to put art in your every day, so I’ll probably have her paint over. The jewelry box also doesn’t take much space up at all. While I am looking for something with a little bit larger footprint, I don’t necessarily want to waste a bunch of real estate in the meantime so I’m really pleased with how compact it is. This is a great little jewelry box - as I mentioned it doesn’t house all of my jewelry, but that’s because my collection is mostly heirloom and I don’t want to take it out from where it is right now. If it were larger, I would probably do so but for now it just houses my everyday items and a little bit extra. I think it’s great and I’m super happy with it!
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Reviewed in the United States on March 17, 2026
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New York, US
★★★★★ 5
Excellent book, possibly currently unique in coverage of latest ideas
This book is possibly currently unique in its coverage of the latest ideas in the field of deep learning -- and it is a very convenient and good survey of fundamental concepts (linear algebra, optimization, performance metrics, activation function types), different network types (multi-layer perceptron, convolutional neural networks, and recurrent neural networks), practical considerations (data set, training and validation, implementation), and applications (comments on existing real-world/commercial uses). The final 235 pages of the content portion of the book is dedicated to topics in "Deep Learning Research", and these topics are truly at the current frontier. Another reviewer said that one could gain the same knowledge of cutting-edge research by reading all of the latest papers (from academia and industry), but the "research" section of this book offers the following: Selection of the most notable research by the very experienced authors of the book, and collection of similar research in to a broader discussion of themes, and the additional insights. The book covers very advanced and new ideas currently being explored, and it is very nice to be able to have a consistent and coherent presentation of all of those ideas. However, the book is also packed with valuable observations and pointers about more basic aspects of deep learning implementations and practices -- and such commentary is in depth and includes substantial analysis and mathematical derivation (in an intuitive presentation that often includes graphs illustrating the phenomenon). As someone with an intermediate level of knowledge and experience of neural networks, I am really grateful for this book, because seems like the ideal resource for learning cutting-edge ideas and practices, with context. The book has excellent scope and depth, and I am confident that anyone with a solid background in linear algebra, calculus, statistics, and general machine learning, and basic neural networks (multi-layer perceptrons) will find this book to be very exciting and perhaps unique in its ability to take the reader to the next level and a new frontier. I was personally excited to learn about the idea of representing the dependencies of intermediate quantities by directed graphs, and how this can be used to perform calculations for recurrent neural networks efficiently. And I think the long chapter on recurrent neural networks is very helpful. Having said all of this, I think only people with significant working knowledge and experience with neural networks and mathematics -- people whose academic or professional focus has been neural networks for at least a year or two -- would benefit from this book. This book answers a lot of the deeper questions that one is likely to have while developing a solid understanding of the fundamentals, and that's one of the book's tremendous values, but this book assumes an understanding of the fundamentals (but does briskly cover the basics). I think this book is a perfect follow-up book for the excellent book "Neural Network Design (2nd edition)" by Hagan, Demuth, Beale, and de Jesus, and I highly recommend the latter for gaining the solid background needed to have a thrilling experience with the "Deep Learning" book. In summary, I am very glad this "Deep Learning" book was written, and I think the "Deep Learning" book will be a great benefit to a lot of people, and to the evolution of the field.
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Reviewed in the United States on April 18, 2017
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Zygerian99
Houston, US
★★★★★ 5
The definitive guide to becoming a researcher in the field
Format: Hardcover
This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience. If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference. I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance: The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals). Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning. Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time. And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
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Reviewed in the United States on January 21, 2020
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Shannon
Natrona Heights, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
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Reviewed in the United States on November 30, 2025
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William P Ross
Louisville, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
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Reviewed in the United States on March 15, 2017

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